Project Info

Project Id:49564

Text Sentiment Analysis also called 'opinion mining', In social media, images and texts are used to convey individuals' attitudes and feelings; thus, social media has become an indispensable part of people's lives. To understand social behavior and provide better recommendations, sentiment analysis on social media is helpful.The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words.It makes use of Deeplearn's API.This sentiment analysis API extracts sentiment in a given string of text then uses natural language processing, text analysis and computational linguistics to identify and detect subjective information from the input text. This algorithm classifies each sentence in the input as very negative, negative, neutral, positive, or very positive.

• Identifies the sentimental nature of the text
• Web User Interface