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AppScience, LLC releases a Twitter-based 2012 Presidential Candidate “Sentiment Analysis” App

TweetVote is an iPhone application that scores and aggregates Tweets to generate a public perception score for Presidential Candidates.

PRLog - Aug. 2, 2012 - WAXHAW, N.C. -- Charlotte, NC, July 10th 2012 –AppScience, LLC announces the release of TweetVote, an iPhone application that scans “Tweets” to measure real-time public perception of Presidential and Vice Presidential candidates.

What is TweetVote?

TweetVote, the newest application using the AppScience Analytics methodology, aggregates thousands of tweets from individuals and news agencies to measure the candidates’ current favorability rating.  

- Create a list of 'favorite' candidates (Democrat, Republican, and more)
- View a daily trend of each candidate’s public perceptions score
- Nerd View, showing raw statistical values behind the calculations
- Make your contribution. Tweet directly from the app!

How does it work?

AppScience, LLC has created a proprietary statistical model that analyzes social media content using Natural Language Processing (i.e. “Sentiment Analysis”) to score individual tweets based on positive or negative language used in reference to presidential candidates.  Statistical analysis then is applied to those scores to ensure a valid comparison between candidates.

Put on your glasses, adjust your pocket-protector, and visit us at www.appscience.org for the nerdy math behind our applications.

AppScience, LLC (www.appscience.org)

AppScience, LLC is a software and analytics company focusing on “Sentiment Analysis” and “Natural Language Processing” concepts whereby social media content is analyzed to produce a mood, public perception, or favorability score based on the negative or positive comments within those messages.

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Contact Email:
***@appscience.org Email Verified
Source:AppScience, LLC
Location:Waxhaw - North Carolina - United States
Industry:Software and Analytics
Tags:sentiment analysis, presidential election, twitter, obama, romney
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