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The Next-generation of Sentiment Analysis, Keywords, Topics and Categories. 124 Semantic models designed especially for hotel reviews. With this unique approach, we cover more than 90% of information/facts contained within the review. Testing it on hundreds of thousands of reviews, we achieved very high accuracy (precision=95%) We call it Human-like Analysis because with these parameters we achieve the same quality as detected by skilled analysts (humans). It opens up a lot of new functionalities that can be easily combined with your product without any post-processing, additional training or configuration to your data. To learn more what can be done with this technology, visit our webiste: http://unicornnlp.com/?solutions-in-travel
Sentiment Analysis API provides professional text sentiment analysis service which includes common text sentiment analysis, stock sentiment analysis and twitter sentiment analysis, it is based on advanced Natural Language Processing and Machine Learning technologies. It can be used to sentiment text that user provided, and give the result with the sentiment and confidence for the text. For more information, you can test those service by the demo on our website: http://sentimentanalysis.net/
Sentiment analysis and keyword extraction for English, French, German, Russian. See http://www.skyttle.com for demos, tutorials and example clients. The API is reachable on https://sentinelprojects-skyttle20.p.mashape.com/ . Support for languages other than English is currently available only on custom pricing plans - please get in touch with us if you'd like to use the API for these languages.
Intellexer API includes natural language processing solutions for sentiment analysis, named entity recognition, summarization, keywords extraction, document comparison, file conversion, natural language interface for search engines, language detection, spell-checking, article and concepts extraction, etc.
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