Were The "Sparks" Flying?

Patti Wood, body language expert, weighs in for US Weekly on the nonverbal gestures of Cameron and Justin. What did their body language reveal about their relationship?

Find out Patti's insights at the link below!

http://www.scribd.com/doc/37126467/Cameron-and-Justin-US-Weekly

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://pattiwood.net/. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

Football Coaches And Quarterback''s Body Language

A reporter for Sports Illustrated called me yesterday for a story on leadership in sports and body language. We had a great discussion about isopraxism, a pull towards the same behavior, that leaders create. He was interested to know that negative body language has a stronger pull that positive body language and that a quarter back or coach's nonverbal behavior can have a dramatic effect on the team. The story should be available at www.sportsillustrated.com next week.

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://PattiWood.net. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

Why Black Women May Smile Less and Get Angry Instead

Why Black Women May Smile Less and Get Angry Instead

Patti, Christelyn Karazin here, the author of the book on interracial and intercultural relationships you spoke with a while back. Can you comment for, www.beyondblackwhite.com, regarding the issue of black women and why many just don't smile. Here's an article for reference: > http://www.theroot.com/views/single-minded-black-girls-puberty from Helena Andrews, author of Bitch Is the New Black.

Here are the rough notes from my response. Christenlyn. Fascinating

smiling is sign of appeasement,
people with lower status smile more often to get what they want,
Women smile more than men in social settings.
Men are often uncomfortable when a women who typically smiles in not smiling. (I believe men who say, "why aren't you smiling?' are concerned that a non-smiling women may be angry or trying to assert power if she is not smiling. Each time I taught my Women and Leadership workshops at the Wharton School of Business I would ask how many men have said, "Why aren't you smiling," to you and every woman would raise her hand.

Research also shows:

High Status seemingly "Powerful people" smile less, Male or Female
Men with more testosterone smile less and are quicker to respond with anger.

Here you have a fascinating and in some ways very sad, cultural and racial switch. So a women says, "I can't smile if I want to be powerful and accepted." to look tough and be accepted by my female peers “I need to sneer, and look like a bitch."

An angry face does get a different response than an appeasing smile. It can feel empowering. But at a great cost.

A smile actually changes your brain chemistry so you feel happier.
The "facial feedback loop" insures a smile is typically met with a smile from other people.
Women who smile are typically seen as more friendly and more attractive
Women who smile in the yearbook photos are found to be happier 25 years later.

A sneer is a prickly protective armor. You won't be stomped on, but you may keep people too far away to touch and hold you close. It may feel like it empowers you. Tyler Perry gets laughs by showing angry bitchy sneering non smiling women. The title character in the Stephan King movie Deloris Clayborn says, "Sometimes being a bitch is all you have to hold on to." sometimes the Black angry women in Tyler Perry's movies just complain, but often the angry "bitch" is energized to powerful destructive action. The iconic defiant sneer on the wife in the movie, "Waiting to Exhale" comes to mind. She goes from a happy smiling wife to a sneering ragging tiger getting mad enough at her unfaithful husband that she takes all his clothes and goodies like his golf club and piles them on his Mercedes and sets them on fire. The sneer on her face along with her defiant upraised chin as she watches the flames climb seemed to say to Black Women, stop smiling and taking it, get angry and start taking.

Smiling Research...Words Are Funnier If Sounding The Word Makes You Smile

Smiling Research...Words Are Funnier If Sounding The Word Makes You Smile

Words Are Funnier If As You Say The Word Your Mouth Forms A Smile.

http://www.newscientist.com/article/mg19426070.700-quacked-humour.html

Quacked humour
09 June 2007 by Ivan Berger, Fawood, New Jersey, US
Magazine issue 2607. Subscribe and save
Richard Wiseman's theory that "Quack" is funnier than "Moo" holds true for English speakers (12 May, p 46). But is it true for those whose languages assign the "k" sound to other animals' cries and not to ducks? Or are there no such languages? The only foreign duck sound I know is the French "quank", in which the "k" would probably have less effect, overshadowed by the preceding nasal sound.

From Kevin Whitesides

You suggest that the spoken hard "k" sound is likely to be funnier because of "facial feedback", for the reason that saying the "k" sound can supposedly make one mimic smiling. This is easily refuted. Try it yourself and you will very quickly recognize that your smiling face is the result of the vowel that precedes or follows the "k".

For example, contrast the facial expression of the word "quack" (as in the article) with the word "cook", which clearly does not create a smile when said. It is the hard "a" sound in "quack" that makes the smiling face. If there is indeed some reason that "k" is funnier than other sounds, it's not because it makes you look like you're smiling.

Also the people in the article were reading a joke, not being told the joke orally. So the facial aspect would not have come into play, unless the person was reading the joke aloud or at least mouthing it.

Arcata, California, US

The editor writes:

• Further personal experimentation suggests that it is the combination of "k" with certain vowel sounds that produces the strongest "forced smile". For example, "key" does so more than "be", "dee" or "fee", although "k" with some other vowels lacks the effect.

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://PattiWood.net. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

Talk So Anyone Will Listen!

Body language pro, Patti Wood, reveals for First For Women the telltale traits and communication secrets of four distinct personality types - and how best to get through to each one.
Check the link!

http://www.scribd.com/doc/37126602/Talk-So-Anyone-Will-Listen-First-For-Women

How You Can Change Your Mood With Body Language And Color Choices!

First For Women has asked Patti Wood, body language expert, to share her insights on the secrets of appearing energetic and the secrets of appearing sexy. Think "up", color effects your energy by.......these are body language tricks that take you from cranky or blue to what's best for you. Check her link below to discover how you can choose what mood you want to be in. http://www.scribd.com/doc/37126619/Which-Mood-Do-You-Choose-First-For-Women

Women and Smiling,

Women and Smiling

I have been reading the responses to the blog entry on women and smiling.

As I say in my book. I really think they are just incredibly uncomfortable. When men see a smiling women, they know she isn't a threat. A women who is not smiling is troubling. Men as a gender don't read the subtle differences in facial expressions. They have difficulty discerning the 57 types of smiles. I am speaking on body language and first impressions at a Women of Color conference in New York next month and one of the tactics I will be discussing is choosing to smile or not smile.

Who's The Boss In The Relationship?

Subtle nonverbal signs speak volumes about shifting

relationship dynamics. First tapped seasoned body
language expert, Patti Wood, for her insight into the
surprising "tells" of relationship dominance.
For Patti's insights, check the link below!
http://www.scribd.com/doc/37126303/Who-sTheBoss-First

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://pattiwood.net/. Also check out the body language quiz on her YouTube Channel athttp://youtube.com/user/bodylanguageexpert .

Bachelor Bob's Body Language, Being Bad

Body language expert, Patti Wood, examines the bad behavior of Bachelor Bob for US Weekly. Check out her insights at the link below!

http://www.scribd.com/doc/37126345/Bad-Behavior-US-Weekly

Smiling, Why Do Women Smile When They Are Angry?

Women smile when they are angry, to protect themselves. The smile softens the strength of the anger and is seen in those who lack power or status.

Studies reveal that women smile more than men. Women are often taught not only to mask our aggressive feelings, to smile and not get angry. There are benefits to smiling. It projects warmth, conveys confidence and is a valuable tool for establishing rapport.

The problem comes when there is a mismatch. Giving a smile when you don't feel happy.

Smiling "happy" when it is inappropriate confuses men. Smiling "happy" when your tone of voice is angry or saying nothing is wrong while your tight smile says there is isn't honest. It can work against you by sending a mixed message. After observing and researching smiling since 1982 I fear that it is one of women's biggest challenges in work and personal relationships. My friend Elaine is brilliant, yet when she worked in corporate America she often met a glass ceiling. Yesterday she read a chapter in my new book and said, "Oh my gosh Patti, I think I smiled and laughed too much." After reading this chapter I realized I smiled at work when I was angry as well.

Isn't it funny when we are angry, we try not to communicate it, yet we want people to listen to us and grant our unexpressed request? When we sell a product or an idea we want to be credible, but we smile to be liked and so we may look weak instead of powerful, flirty and silly instead of credible.

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://PattiWood.net. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

They're Not In Tune! Bob And Estella Couple Body Language

According to body language expert, Patti Wood, Bob and Estella didn't seem like a couple on The Ellen DeGeneres Show. Patti is quoted in In Touch Weekly saying, "They're not in tune." Check out the link for all the details!

http://www.scribd.com/doc/37126506/It-sOver-InTouch

Attraction Tips, Smiling And Eye Contact Research

Attraction Tips, Smiling and Eye Contact Research

In my body language programs you learn not just what to do but why certain nonverbal behaviors work. It's great to say, smile and look someone in the eye to enhance the attraction process, but to know the research that shows why that is such a powerful action in the attraction process really informs you and can motivate you to change and or improve your nonverbal behavior. So when you say, "You need to smile and make eye contact to win a mate." Here is the why behind the do.

Here is the link and the research.

http://www.newscientist.com/article/dn12886-eye-contact-and-a-smile-will-win-you-a-mate.html

Eye contact and a smile will win you a mate
11:22 07 November 2007 by Debora MacKenzie
For similar stories, visit the Love and Sex Topic Guide
It's official: you are more likely to think other people are attractive if they are looking straight at you and smiling. The finding helps to explain long-standing questions over the subtle ways in which evolution can determine human preferences.

An important question in biology is whether a particular function or ability is the result of evolution or an accidental byproduct of it. Some biologists believe that human perception falls into this second category because there has been little evidence that how we perceive things like faces affects our biological success in ways that are selected for or against.

But the evidence is mounting that evolution has conditioned our perception in subtle ways.

Claire Conway and colleagues at the University of Aberdeen in Scotland, UK, paired nearly identical photos of computer-generated faces, with smiling or disgusted expressions. The pair differed only in where the irises were pointed: straight at the viewer, or off to the side (see image top right).

Several hundred Aberdeen undergraduates, in the lab and online, rated the faces for sexual attractiveness, and for likeability, a sexually neutral quality. Both men and women found faces looking straight at them to be more attractive and more likeable, even if the faces looked disgusted though unsurprisingly, there was a greater preference for smiles.

Sexual bias
But when the viewers were rating the faces for attractiveness, the preference for being gazed at directly by smiling eyes was much greater for faces of the opposite sex, especially when they were rated by men. There was no such sexual bias in the preference for a direct gaze when the students rated disgusted-looking faces, or when they were rating any faces for likeability.

The Aberdeen team says the sexual bias in subjects' perception of sexual attractiveness in a direct, smiling gaze is hard to explain as a functionless byproduct of perception. But it could have evolved to ease the effort of mating, by directing efforts towards people who are already expressing an interest.

The idea that evolution played a role in determining our facial preferences is backed up by other work, such as research showing that perceptions of attractiveness change depending on peer pressure, or even the time of the month.

What about cultures, common in Asia, where gazing directly at someone is rude? "The Asian participants [in the study] demonstrated preferences for direct over averted gaze," Conway told New Scientist. But these are private preferences, she cautions. "Whether or not such preferences are also expressed in public situations we don't know."

Journal reference: Proceedings of the Royal Society (DOI: 10.1098/rspb.2007.1073)

Love - Learn more about the science behind it in our comprehensive special report.

The Human Brain - With one hundred billion nerve cells, the complexity is mind-boggling. Learn more in our cutting edge special report.

John Cusack's First Foray Into The World Of Tweeting.

I just did a read of John Cusack’s first foray in the world of tweeting for Fox News.com

I will put up the link to the article when I get it from Fox News. I have my rough notes below.

Coincidentally, I was working on the techno impressions chapter of my new book when I got the request. I told the journalist that most tweeters speaking on political or social issues tend to make strong declarative statements. They start their sentences with a capital I; they put lots of exclamation points at the end of their tweets and use caps to shout out what they feel. John is not so self assured. The few sentences he starts with an I he uses a little I. It's clear in a content analysis that he is not sure how he should act in this medium. He starts a tweet sharing his opinion, but, in more than half of the tweets I analyzed he stops in the middle of the sentence to ask if he is following the rules or saying things correctly. This is particularly interesting when you compare it to how he is in camera interviews. I have done many nonverbal reads on Johns' TV interviews. He is calm, self assured, intelligent and articulate and often witty. In his tweets he does not use capital letters, or follow the rules or spelling grammar or punctuation. The spelling seems phonetic and the vowels inside words or incorrect phonetic spelling and letters inside words being mixed up are mistakes I see in people, who are dyslexic. That is personally, very easy to recognize as I have dyslexia. It is interesting that he chooses to ignore the rules here but cautious with his words.

1. was that who it was?? RT Shawn Hannity sings 4 Cusack...http://youtu.be/r5KeGccP9Jk . filmed live at a satanist celebrity cult death center.2:33 AM Sep 2nd via TweetDeck

2. doesnt that guy work in politics? or was it entertainment?10:42 PM Sep 1st via TweetDeck

3. whats been going on guys? whhttp://youtu.be/r5KeGccP9Jk10:40 PM Sep 1st via TweetDeck

4. freindship tour rolling through santa monica today..12:15 PM Sep 1st via TweetDeck

taibbi... thttp://bit.ly/cZwdn3

1. ummm.. was sbeing sarcastic about the rules- i'm irish -- dont do well with arbitrary authority1:54 PM Aug 31st via TweetDeck

2. i want to be a good boy for them all-- did i miss something? any other rules i should follow?1:48 PM Aug 31st via TweetDeck

3. hope twipolice tell me what' sok comming out myown little twi-feed....no jokes no CAPS-- no tonaly quesytionabe insights into politcis1:47 PM Aug 31st via TweetDeck

i would sadly agree- a bit overstated- but sadly true-RT @jeffjfyke: Gore Vidal says US has a one-party govt with two right wings.1:42 PM Aug 31st via TweetDeck

1. the gop establishment has been in a shamfull cycle of fear mongering for years in my opinion..1:27 PM Aug 31st via TweetDeck

2. ron paul on everything - but i think he has character in many ways.. depends on the peroson.1:26 PM Aug 31st via TweetDeck

3. nothing... i may not agre with RT @RambobeatsRocky: John, I've watched your movies for 25+ years...what do you have against conservatives?1:25 PM Aug 31st via TweetDeck

4. and the flag..? i know were not supposed to make jokes about anything - now that america has turned back to the lord..1:23 PM Aug 31st via TweetDeck

without changing context.. am i for or against ? how about a celebrity death cult center? i will join as pennance to the folks who own god1:22 PM Aug 31st via TweetDeck

Touch, How A Man Touches A Woman, Reading Your Man's Body Language...Touching Body Language

Booty Body Language. What does it mean when a man touches your rear end? How men touch the posterior of women says how they feel about the women, themselves and the relationship.

Those posterior pats are packed with meaning says Patti Wood, body language expert, in US Weekly. If you're curious what they mean, check out the link below!
http://www.scribd.com/doc/37126393/BenAndJen-US-Weekly

How Can You Read A Couples' Body Language In A Photo?

I am about to do a couple read of Jessica Simpson and Jess for www.Hollywoodlife.com They are asking me. "Do you think Jess and Eric are happy? In love? Does one care for the other more? See what I say about her body, head and hands that show how she is feeling about him, and the signs of fatigue and stress on his face that are not a match for her high energy body language.
I have tons of celebrity reads on this blog. Put celebrity body language and couple body language in the search on my blog to find them.

Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://PattiWood.net. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

What Does Your Lipstick "Lip Print" Say About Your Personality?

Read about what your lip print says about you. I have a full lower lip and I found it funny that the author says a full lower lip says you should be a writer or speaker!

http://glo.msn.com/relationships/what-your-lip-print-says-about-you-5353.gallery?bingQuery=1&gt1=49015#stackState=0__%2Frelationships%2Fwhat-your-lip-print-says-about-you-5353.gallery%3FphotoId%3D14970%26bingQuery%3D1%26q%3DFull%2BLower%2BLip

Patti Wood, MA, Certified Speaking Professional - The Body Language Expertbody language insights go to her website at http://pattiwood.net/. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

Deception Detection of Text, or Language or Word Choice in Texting.

Deception Detection of Text, Language and Word Choice in Texting.

The article below discusses some of the methods currently used and describes a new product for text analysis. Communication Experts call in content analysis or rhetorical analysis. Psychologists, law enforcement and the criminal justice system call it statement analysis or forensic statement analysis.
Patti Wood, MA, Certified Speaking Professional - The Body Language Expert. For more body language insights go to her website at http://PattiWood.net. Also check out the body language quiz on her YouTube Channel at http://youtube.com/user/bodylanguageexpert.

www.freshpatents.com/Method-and-system-for-the-automatic-recognition-of-deceptive-language-dt20070111ptan20070010993.php

Method and system for the automatic recognition of deceptive language

Abstract: A system for identifying deception within a text includes a processor for receiving and processing a text file. The processor includes a deception indicator tag analyzer for inserting into the text file at least one deception indicator tag that identifies a potentially deceptive word or phrase within the text file, and an interpreter for interpreting the at least one deception indicator tag to determine a distribution of potentially deceptive word or phrases within the text file and generating deception likelihood data based upon the density or distribution of potentially deceptive word or phrases within the text file. A method for identifying deception within a text includes the steps of receiving a first text to be analyzed, normalizing the first text to produce a normalized text, inserting into the normalized text at least one part-of-speech tag that identifies a part of speech of a word associated with the part-of-speech tag, inserting into the normalized text at least one syntactic label that identifies a linguistic construction of one or more words associated with the syntactic label, inserting into the normalized text at least one deception indicator tag that identifies a potentially deceptive word or phrase within the normalized text, interpreting the at least one deception indicator tag to determine a distribution of potentially deceptive word or phrases within the normalized text, and generating deception likelihood data based upon the density or frequency of distribution of potentially deceptive word or phrases within the normalized text. (end of abstract)
CROSS-REFERENCE TO RELATED APPLICATION

[0001] This application claims priority from a U.S. provisional patent application Ser. No. 60/635,306, filed on Dec. 10, 2004, which is herein incorporated by reference in its entirety.

BACKGROUND OF THE INVENTION

[0002] This invention relates to the application of Natural Language Processing (NLP) to the detection of deception in written texts.

[0003] The critical assumption of all deception detection methods is that people who deceive undergo measurable changes--either physiological or behavioral. Language-based deception detection methods focus on behavioral factors. They have typically been investigated by research psychologists and law enforcement professionals working in an area described as "statement analysis" or "forensic statement analysis". The development of statement analysis techniques has taken place with little or no input from established language and speech technology communities.

[0004] The goal of these efforts has been twofold. Research projects, primarily conducted by experimental psychologists and management information systems groups, investigate the performance of human subjects in detecting deception in spoken and written accounts of a made up incident. Commercial and government (law enforcement) efforts are aimed at providing a technique that can be used to evaluate written and spoken statements by people suspected of involvement in a crime. In both cases, investigators look at a mix of factors, e.g. factual content, emotional state of the subject, pronoun use, extent of descriptive detail, coherence. Only some of these are linguistic. To date, the linguistic analysis of these approaches depends on overly simple language description and lacks sufficient formal detail to be automated--application of the proposed techniques depends largely on human judgment as to whether a particular linguistic feature is present or not. Moreover none of the proposed approaches bases its claims on examination of large text or speech corpora.

[0005] Two tests for measuring physiological changes are commercially available--polygraphs and computer voice stress analysis. Polygraph technology is the best established and most widely used. In most cases, the polygraph is used to measure hand sweating, blood pressure and respiratory rate in response to Yes/No questions posed by a polygraph expert. The technology is not appropriate for freely generated speech. Fluctuations in response are associated with emotional discomfort that may be caused by telling a lie. Polygraph testing is widely used in national security and law enforcement agencies but barred from many applications in the United States, including court evidence and pre-employment screening. Computer voice stress analysis (CVSA) measures fundamental frequency (FO) and amplitude values. It does not rely on Yes/No questions but can be used for the analysis of any utterance. The technology has been commercialized and several PC-based products are available. Two of the better known CVSA devices are the Diogenes Group's "Lantern" system and the Trustech "Vericator". CVSA devices have been adopted by some law enforcement agencies in an effort to use a technology that is less costly than polygraphs as well as having fewer detractors. Nonetheless, these devices do not seem to perform as well as polygraphs. The article Investigation and Evaluation of Voice Stress Analysis Technology (D. Haddad, S. Walter, R. Ratley and M. Smith, National Institute of Justice Final Report, Doc. #193832 (2002)) provides an evaluation of the two CVSA systems described above. The study cautions that even a slight degradation in recording quality can affect performance adversely. The experimental evidence presented indicates that the two CVSA products can successfully detect and measure stress but it is unclear as to whether the stress is related to deception. Hence their reliability for deception detection is still unproven.

[0006] Current commercial systems for detection of deceptive language require an individual to undergo extensive specialized training. They require special audio equipment and their application is labor-intensive. Automated systems that can identify and interpret deception cues are not commercially available.

BRIEF SUMMARY OF THE INVENTION

[0007] Motivated by the need for a testable and reliable method of identifying deceptive language, the present method detects deception by computer analysis of freely generated text. The method accepts transcribed or written statements and produces an analysis in which portions of the text are marked as highly likely to be deceptive or highly likely to be truthful. It provides for an automated system that can be used without special training or knowledge of linguistics.

[0008] A system for identifying deception within a text according to the present invention includes a processor for receiving and processing a text file, wherein the processor has a deception indicator tag analyzer for inserting into the text file deception indicator tags that identify potentially deceptive words and/or phrases within the text file. The processor also includes an interpreter for interpreting the deception indicator tags to determine a distribution of potentially deceptive word or phrases within the text file. The interpreter also generates deception likelihood data based upon the distribution of potentially deceptive word or phrases within the text file. The system may further include a display for displaying the deception likelihood data. The processor may further include a receiver for receiving a first text to be analyzed, a component for normalizing the first text to produce a normalized text, a component for inserting into the normalized text part-of-speech tags that identify parts of speech of word associated with the part-of-speech tags, and a component for inserting into the normalized text syntactic labels that identify linguistic constructions of one or more words associated with each syntactic label. The normalized text including the part-of-speech tag(s) and the syntactic label(s) is provided to the deception indicator tag analyzer.

[0009] In one embodiment of the system according to the present invention, the deception indicator tag analyzer inserts the deception indicator tag into the normalized text based upon words or phrases in the normalized text, part-of-speech tags inserted into the normalized text, and syntactic labels inserted in the normalized text. The deception indicator tags may be associated with a defined word or phrase or associated with a defined word or phrase when used in a defined linguistic context. Also, the interpreter may calculate a proximity metric for each word or phrase in the text file based upon the proximity of the word or phrase to a deception indicator tag such that the proximity metric is used to generate the deception likelihood data. The interpreter may also calculate a moving average metric for each word or phrase in the text file based upon the proximity metric of the word or phrase such that the moving average metric is used to generate the deception likelihood data. The calculation of the moving average metric for each word or phrase in the text file may be adjusted by a user of the system to alter the deception likelihood data as desired by the user.

[0010] A method for identifying deception within a text in accordance with the present invention includes the steps of: receiving a first text to be analyzed; normalizing the first text to produce a normalized text; inserting into the normalized text at least one part-of-speech tag that identifies a part of speech of the word associated with each part-of-speech tag; inserting into the normalized text at least one syntactic label that identifies a linguistic construction of one or more words associated with the syntactic label; inserting into the normalized text at least one deception indicator tag that identifies a potentially deceptive word or phrase within the normalized text, interpreting the at least one deception indicator tag to determine a distribution of potentially deceptive word or phrases within the normalized text; and generating deception likelihood data based upon the distribution of potentially deceptive words or phrases within the normalized text.

[0011] While multiple embodiments are disclosed, still other embodiments of the present invention will become apparent to those skilled in the art from the following detailed description, which shows and describes illustrative embodiments of the invention. As will be realized, the invention is capable of modifications in various obvious aspects, all without departing from the spirit and scope of the present invention. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

[0012] FIG. 1 is a schematic diagram of the components of a system for one embodiment of the invention.

[0013] FIG. 2 is a flowchart showing the overall processing of text in one embodiment of the invention.

[0014] FIG. 3 is a diagram showing how text is marked for display after analysis for deception.

[0015] FIG. 4 is a diagram showing an alternative for how text is marked for display after analysis for deception.

DETAILED DESCRIPTION

I. Overview

[0016] A core notion of the method is that deceptive statements incorporate linguistic attributes that are different from those of non-deceptive statements. It is possible to represent these attributes formally as a method of linguistic analysis that can be verified by empirical tests.

[0017] The method begins with certain widely accepted techniques of corpus linguistics and automated text analysis. The deception detection component is based on a corpus of "real world" texts, for example, statements and depositions from court proceedings and law enforcement sources which contain propositions that can be verified by external evidence. Linguistic analysis is accomplished by a combination of statistical methods and formal linguistic rules. A novel user interface interprets results of the analysis in a fashion that can be understood by a user with no specialized training.

[0018] A method in accordance with the present invention is implemented as an automated system that incorporates the linguistic analysis along with a method of interpreting the analysis for the benefit of a system user. A typical system user may be a lawyer, a law-enforcement professional, an intelligence analyst or any other person who wishes to determine whether a statement, deposition or document is deceptive. Unlike polygraph tests and similar devices that measure physiological responses to Yes/No questions, the method applies to freely generated text and does not require specialized or intrusive equipment. Thus it can be used in a variety of situations where statements of several sentences are produced.

[0019] The system builds on formal descriptions developed for linguistic theory and on techniques for automated text analysis developed by computational linguists. The analysis advances the state of the art in natural language processing, because deception detection is a novel application of NLP. In addition the system compensates for the inability of humans to recognize deceptive language at a rate little better than chance.

Smiling, Makes You Feel Good!

Smiling Makes You Feel Good!

Research on the positive effects of smiling.
ewscientist.com/article/mg15020279.300-act-now-think-later--fear-not-politicians-that-elusive-feelgood-factor-can-be-created-in-an-instant-just-appeal-to-our-primal-instincts-advises-david-concar.html Act now, think later - Fear not, politicians. That elusive feel-good factor can be created in an instant. Just appeal to our primal instincts, advises David Concar
27 April 1996
Magazine issue 2027. Subscribe and save

Department stores opt for nice smells and muzak; impresarios use warm-up acts. But psychologist Sheila Murphy has an infinitely more devious way of getting people in the right frame of mind. First she sits them in front of a screen in her lab at the University of Southern California in Los Angeles. Then she flashes up images of smiling faces.

Nothing obviously devious about that: smiles make people cheerful. The rub is that Murphy's smiles last for just a few thousandths of a second. That's way too fast for the human brain to know what it's looking at. And yet, according to in-depth studies carried out over many years by Murphy, veteran emotions researcher Robert Zajonc and their colleagues, these split-second flashes of teeth and warmly wrinkled eyes induce a measurably more positive frame of mind.

It sounds crazy. How can people respond to facial expressions too short-lived to permeate...?

Revealing Body Language

Patti Wood, body language expert, tells US Weekly that Letterman appears to be hiding something. Check the link below to find out why Patti arrived at this conclusion!

http://www.scribd.com/doc/37126521/Letterman-US-Weekly

Patti Wood Body Language Expert Blog

Search This Blog

Were The "Sparks" Flying?

Football Coaches And Quarterback''s Body Language

Why Black Women May Smile Less and Get Angry Instead

Smiling Research...Words Are Funnier If Sounding The Word Makes You Smile

Talk So Anyone Will Listen!

How You Can Change Your Mood With Body Language And Color Choices!

Women and Smiling,

Who's The Boss In The Relationship?

Bachelor Bob's Body Language, Being Bad

Smiling, Why Do Women Smile When They Are Angry?

Smiling, Why Do Women Smile When They Are Angry?

They're Not In Tune! Bob And Estella Couple Body Language

Attraction Tips, Smiling And Eye Contact Research

John Cusack's First Foray Into The World Of Tweeting.

Touch, How A Man Touches A Woman, Reading Your Man's Body Language...Touching Body Language

How Can You Read A Couples' Body Language In A Photo?

What Does Your Lipstick "Lip Print" Say About Your Personality?

Deception Detection of Text, or Language or Word Choice in Texting.

Method and system for the automatic recognition of deceptive language

Smiling, Makes You Feel Good!

Revealing Body Language

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