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Semantic API Demos → Statistical Sentiment Analysis

Building on the assets developed for our flagship sentiment analysis technology, and the millions of reviews we have aggregated and analyzed, we developed this sentiment analysis tool based on frequency statistics and probability.

Sentiment (indicated by green/red coloring of the words/n-grams) is computed from a large collection of exact matches, like those seen in our magic box. Additionally, statistics based on review scores given by users were included.

Additionally, the tool tries to predict combinations of objects and attributes (“candidates”), based on the same data set of exact matches.


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Your Input


Try these Examples:

  • The rooms were acceptable, but could not make up for the unfriendly staff.
  • We called the manager about our bed bugs problem, but no response.
  • Highly recommended - I can't wait to go back!
  • I asked to speak to the manager, but they refused to hear us out.
  • I was told they wouldn't refund our first rate even though they hadn't been able to get us a new room.
  • Service was excellent - keep up the good work!

Result: