Multilingual sentiment analysis of texts from different sources (blogs, social networks,...). Besides polarity at sentence and global level, Sentiment Analysis uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text. Sentiment Analysis also gives the user the possibility of detecting the polarity of user-defined entities and concepts, making the service a flexible tool applicable to any kind of scenario. Additionally, Sentiment Analysis detects if the text processed is subjective or objective and if it contains irony marks [beta], both at global and sentence level, giving the user additional information about the reliability of the polarity obtained from the sentiment analysis.
Get your API key at https://api.bitext.com/#/signup/api Contact us at [email protected] You can use this REST API to perform: Sentiment Analysis: Structure every part of an opinion into positive/neutral/negative, identify the topic of the opinion, the sentiment expression used, and get a numeric value for each of the sentiment-bearing phrases. Entity Extraction: Extract from text names, places, firms, twitter users, and others. Categorization: Classify text using a custom build taxonomy Concept Analysis: Linguistically based structuring text.