Analyze Words – analyze Twitter users based on their toots

Analyze words reads your last chunk of updates to Twitter and determines your social style, mood, and emotional state. It is based on good scientific research connecting word use to who people are. So go to town – enter your Twitter name or the handles of friends, lovers. The AnalyzeWords project analyzes data using the text analysis program Linguistic Inquiry and Word Count (LIWC). Ratings include emotional style, social style and thinking style.

Across dozens of studies, junk words have proven to be powerful markers of peoples psychological states. When individuals use the word I, for example, they are briefly paying attention to themselves. People experiencing high levels of physical or mental pain automatically orient towards themselves and begin using I-words at higher rates. I-use, then, can reflect signs of depression, stress or insecurity.

Linguistic Inquiry and Word Count (LIWC) is a text analysis software program designed by James W. Pennebaker, Roger J. Booth, and Martha E. Francis. LIWC is able to calculate the degree to which people use different categories of words across a wide array of texts. Within emails, speeches, poems, or transcribed daily speech, LIWC allows you to determine the rate at which the authors/speakers use positive or negative emotion words.

You can run your contacts and followees too. Here’s what I learned from some people I follow and just how this astute website analyzes them.
Chip Kidd is highly depressed and in-the-moment. Maybe he’s distraught about the state of book design.
Ellen Lupton is highly arrogant and distant. She seems lovely to me… her tweets apparently tell otherwise.

analyzewords Analyze Words   analyze Twitter users based on their toots

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