Efficient Techniques for Sentiment Analysis from Social Media Data.

      Аннотация: The enormous growth of Internet usage, number of social interactions, and activities in social networking sites has resulted in users adding their opinions on products, events, etc.,. However, due to a large amount of user-generated data, it is an expensive process to analyze the data manually. Sentiment Classifiers are used for automated analysis to extract sentiments and opinions conveyed in the user-comments. The Book includes insight into various efficient techniques for Sentiment Analysis and Opinion Mining from Social Media Data. All algorithms discussed give better Accuracy of sentiment classification.

Ключевые слова: Cross Domain Sentiment Classifification