Sentiment Analysis

Sentiment Analysis is the use of natural language processing, statistics, and text analysis to extract and identify the sentiment of text into positive, negative, or neutral categories. We often see sentiment analysis used to arrive at a binary decision: somebody is either for or against something, users like or dislike something, or the product is good or bad. Read: Introduction to Sentiment Analysis Algorithms Article

Sentiment Analysis Interactive Demos:

Sentiment Analysis TUTORIALS: 

Browse all algorithms:

  • LexSent


    Lexicon based chinese sentiment classifier. Input some texts, return the sentScore