Sentiment Analysis 2.0 for Hotel Reviews consists of 149 Semantic Models. Each Semantic model was especially designed, built, tested, and on hundreds of thousands of reviews. All presented Semantic Models work with an unparalleled precision of 90-95%.

Profanity & Toxicity Detection for User-Generated Content is a set of dedicated semantic models regarding toxic and aggressive content. It was made on a various type of user-generated content (comments, forums, tweets, fb, etc.).

Sentiment Analysis 2.0 for App Reviews is a set of precisely crafted 74 semantic models especially for app reviews.

Contact us to get more information about custom-made models tailored to your data&requirements.

Hate Speech Detection for User-Generated Content is a set of dedicated semantic models regarding toxic and aggressive content. It was made on a various type of user-generated content (comments, forums, tweets, fb, etc.).