Sentiment Analysis, Emotion Detection and Opinion Mining Algorithms, Applications and Challenges: An Exploratory Study

摘要

Sentiment Analysis (SA) and its relative branch Emotion detection are progressing field of research in data mining. SA is the computational treatment of conclusions, sentiments and subjectivity of substance. This survey paper handles an expansive design of the last stimulate in this field. Various beginning late proposed algorithms' progressions and differing SA applications are examined and indicated briefly in this survey. The related fields to SA (exchange learning, emotion detection, and building assets) that pulled in scientists beginning late are talked about. The key focus of this survey is to give about full picture of SA techniques and the related fields with brief reasons for interest. The real obligations of this paper incorporate the brain boggling solicitations of an expansive number as of late articles and the framework of the stream case of research in the sentiment analysis and its related regions.