• Shubham Mishra
• Vikas Pandey

Sentiment analysis (SA) is an ongoing research area in the field of text mining. SA is the calculation of text perspective, emotions and subjectivity. This research paper provides a comprehensive overview of the latest updates in this area. In this study, we briefly surveyed and introduced a number of recently proposed algorithms and various SA applications. These articles are categorized according to their contribution to various SA technologies. Related areas of SA that have recently attracted researchers (transfer learning, emotional testing, and building resources). The main purpose of this survey is to provide near complete SA technology images and brief details on the relevant fields. The main contributions of this paper include the complex classification of a large number of recent articles, as well as an explanation of recent trends in emotion analysis and related fields.

Sentiment analysis (SA) , Feature Extraction ,support vector machines (SVM), and naive Bayes, SentiWord Net

"Sentiment Analysis and Machine Learning Approach: A Survey ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.996-1001, June 2019, Available :http://www.jetir.org/papers/JETIR1906I26.pdf

"Sentiment Analysis and Machine Learning Approach: A Survey ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp996-1001, June 2019, Available at : http://www.jetir.org/papers/JETIR1906I26.pdf