|Description||Twitter Search with Feelings|
TweetFeel gathers real-time Twitter data about whatever search term the user has entered, and then evaluates those tweets for positive and negative feelings.
TweetFeel is unique as it monitors sentiment specifically designed for Twitter conversations. Conversations on Twitter are impulsive, short and are structured differently than blogs and other commenting platforms, therefore TweetFeel’s sentiment analysis is catered to get a better read of true feelings.
TweetFeel can be found by visiting http://www.tweetfeel.com
TweetFeel Biz is an enterprise service which is more feature-rich than TweetFeel. Clients can track, trend, compare and create stories for their brands along with a number of additional tools to help them get the best out of Twitter chatter.
TweetFeel Biz can be found by visiting http://www.tweetfeel.com/biz
|Launch Date||October 23, 2009|
Tweetfeel Biz uses machine learning based sentiment analysis designed for Twitter conversations which enables you to get a much clearer picture of feelings towards your brand.
After specifying the relevant search terms and keywords, TweetFeel Biz immediately begins to gather tweets in real-time.
Tweetfeel then uses a multitude of complex algorithms to evaluate tweets in terms of both positive and negative sentiment.
Unique features available in www.tweetfeel.com/biz include the ability to create very specific and accurate search terms by specifying terms that must be searched and terms that must not be searched.
Users can also build customized stories to monitor exactly how people are talking about each search term. These stories, or themes, allow users to identify the most popular and least popular topics, thereby permitting actionable insights to occur. Charts and graphs allow users to easily monitor changes in brand sentiment over time.