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Which clippings match 'Sentiment Analysis' keyword pg.1 of 1
12 NOVEMBER 2012

What is Sentiment Analysis?

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TAGS

2012 • affective state • affinity analysis • appraisal theory • attitudescalmness • Chris Manning • computational linguistics • consumer confidence • content analysis • contextual polarity • correlationsCoursera (provider) • Dan Jurafsky • dispositions • emotional effect • emotional state • evaluation • Gallup Poll • intended emotional communication • judgmentmotivational needsnatural language processing • opinion extraction • opinion mining • personal preference • positive effectspredictive analytics • product aspects • product attributes • product search • sentiment analysisStanford Universitystock market • subjective information • text analysis • Twitter sentiment • user attitudesuser perspectiveusers and products

CONTRIBUTOR

Simon Perkins
06 OCTOBER 2012

A social mirror to the prevalence of casual homophobia on Twitter

"This website is designed as a social mirror to show the prevalence of casual homophobia in our society. Words and phrases like 'faggot,' 'dyke,' 'no homo,' and 'so gay' are used casually in everyday language, despite promoting the continued alienation, isolation and – in some tragic cases – suicide of sexual and gender minority (LGBTQ) youth.

We no longer tolerate racist language, we're getting better at dealing with sexist language, but sadly we're still not actively addressing homophobic and transphobic language in our society.

Let's put an end to casual homophobia. Speak out when you see or hear homophobic or transphobic language from friends, at school,

in the locker room, at work or online. Use #NoHomophobes to show your support. And visit one of our resource websites to get more involved."

(NoHomophobes.com)

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TAGS

#NoHomophobes • alienationcasual discrimination • casual expression • casual homophobia • casual reference • critiquecultural signalsdata analysisdykeeveryday • everyday language • faggotgay • gender minority • homo • homophobia • homophobic language • information designintoleranceisolation • LGBTQ • locker room • metrics • minority • mirror • no homo • NoHomophobes • racist languagerepresentationsentiment analysissexist language • sexual minority • so gay • social activismsocial changesocial commentsocial differentiation • social mirror • social normssocial responsibilitysuicide • transphobic • transphobic language • TwitterTwitter streamwords and phrasesyouth

CONTRIBUTOR

Simon Perkins
18 MAY 2010

We Feel Fine is an exploration of human emotion on a global scale

"Since August 2005, We Feel Fine has been harvesting human feelings from a large number of weblogs. Every few minutes, the system searches the world's newly posted blog entries for occurrences of the phrases 'I feel' and 'I am feeling'. When it finds such a phrase, it records the full sentence, up to the period, and identifies the 'feeling' expressed in that sentence (e.g. sad, happy, depressed, etc.). Because blogs are structured in largely standard ways, the age, gender, and geographical location of the author can often be extracted and saved along with the sentence, as can the local weather conditions at the time the sentence was written. All of this information is saved.

The result is a database of several million human feelings, increasing by 15,000 – 20,000 new feelings per day. Using a series of playful interfaces, the feelings can be searched and sorted across a number of demographic slices, offering responses to specific questions like: do Europeans feel sad more often than Americans? Do women feel fat more often than men? Does rainy weather affect how we feel? What are the most representative feelings of female New Yorkers in their 20s? What do people feel right now in Baghdad? What were people feeling on Valentine's Day? Which are the happiest cities in the world? The saddest? And so on.

The interface to this data is a self–organizing particle system, where each particle represents a single feeling posted by a single individual. The particles' properties–color, size, shape, opacity–indicate the nature of the feeling inside, and any particle can be clicked to reveal the full sentence or photograph it contains. The particles careen wildly around the screen until asked to self–organize along any number of axes, expressing various pictures of human emotion. We Feel Fine paints these pictures in six formal movements titled: Madness, Murmurs, Montage, Mobs, Metrics, and Mounds.

At its core, We Feel Fine is an artwork authored by everyone. It will grow and change as we grow and change, reflecting what's on our blogs, what's in our hearts, what's in our minds. We hope it makes the world seem a little smaller, and we hope it helps people see beauty in the everyday ups and downs of life."

(Jonathan Harris & Sep Kamvar, May 2006)

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TAGS

2005artworkbig data • blog entries • culturedatadata collection and analysisdata scrapingdatabase • demographic • depressed • everydayfeelinggeographical locationgraphic representation • happy • human emotion • human feelingsI am feeling • I feel • information aestheticsinformation graphicsinteraction designinteractiveinterfaceJonathan Harrismadnessmedia artmetrics • mobs • montage • mounds • murmurs • opinion miningparticle systemspatternpatterns of human behaviourphrase • sad • scrapesentiment analysisSep Kamvarvisual depictionvisualisation • We Feel Fine • weblog

CONTRIBUTOR

Simon Perkins
03 OCTOBER 2008

I Want You To Want Me

"I Want You To Want Me chronicles the world’s long–term relationship with romance, across all ages, genders, and sexualities, gathering new data from a variety of online dating sites every few hours. The system searches these sites for certain phrases, which it then collects and stores in a database. These phrases, taken out of context, provide partial glimpses into people’s private lives. Simultaneously, the system forms an evolving zeitgeist of dating, tracking the most popular first dates, turn–ons, desires, self–descriptions and interests."
(Jonathan Harris & Sep Kamvar, 2008)

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TAGS

algorithmbig datadatadata scraping • Design and the Elastic Mind • I Want You To Want Me • information designinterpretativeJonathan HarrisMoMAonline datingrelationshipsromancesentiment analysisSep Kamvarsexual agencysocial commentvisualisationwords and phrases

CONTRIBUTOR

Simon Perkins
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