RankSpeed Organizes Your Twitter Streams by Topics from Wikipedia
RankSpeed Announces a New Topic-based Filtering Technology
June 15, 2012 -- RankSpeed, the first sentiment-based search engine, today announced the launch of a new topic-based filtering technology available as a Twitter client for consumers and a simple API for developers.
RankSpeed instantly arranges any feed by using the 3 million topics and 500,000 categories from Wikipedia. Tweets are grouped into topics and topics are sorted by Wikipedia categories.
Finally, RankSpeed allows users to discover what topics their friends like or dislike by doing a sentiment analysis on historical user streams. One year of positive and negative tweets are tracked by RankSpeed and organized by topics.
RankSpeed instant topic categorization can work on any data feed: Twitter home stream, mentions, lists, user profiles, realtime deals and coupons posted on Twitter, etc.
RankSpeed launched the first sentiment-based search engine that ranks websites and products by any sentiment expressed in Twitter and blogs. Today hundred companies that need to instantly understand what their customers think about their products are using RankSpeed sentiment analysis technology.
Learn more about RankSpeed here: http://www.rankspeed.com/