Sentiment analysis is one of the fastest growing research areas in computer science, making it challenging to keep track of all the activities in the area. Sentiment analysis is a technology with great practical value; it can solve the phenomenon of network comment information disorderly to a certain extent, and accurate positioning of user information required. Internet has opened the new doors for information exchange and the growth of social media has created unprecedented opportunities for citizens to publicly raise their opinions, but it has serious bottlenecks when it comes to do analysis of these opinions. Even urgency to gain a real time understanding of citizens concerns has grown very rapidly. Since, the viral nature of social media which is fast and distributed one, some issues get rapidly distributed and unpredictably become important through this word of mouth opinions expressed online which in turn has known as sentiments of the users. The decision makers and people do not yet realized to make sense of this mass communication and interact sensibly with thousands of others with the help of sentiment analysis.

Sentiment analysis, text mining, literature review, Natural Language Processing, Question Answering

[1]. The evolution of sentiment analysis - Mika V. Mäntylä, Daniel Graziotin , MiikkaKuutila (2017)
[2]. Sentiment Analysis of Twitter Data - ApoorvAgarwal, BoyiXie Ilia Vovsha Owen Rambow Rebecca Passonneau, Department of Computer Science, Columbia University, New York
[3]. Research On Sentiment Analysis: The First Decade, Oskar Ahlgren(2015)
[4]. Sentiment analysis: Measuring opinions, ChetashriBhadanea,HardiDalalb, HeenalDoshic, International Conference on Advanced Computing Technologies and Applications (ICACTA-2015)
[5]. A survey on sentiment analysis challenges,DoaaMohey El-Din Mohamed Hussein,Faculty of Computers and Information, Cairo University, Cairo, Egypt(2016)
[6]. Recent Trends in Deep Learning Based Natural Language Processing ¬- Tom Young, DevamanyuHazarika, SoujanyaPoria, Erik Cambria(2018)
[7]. Comparison of Text Sentiment Analysis based on Machine Learning - Xueying Zhang, XianghanZheng, (2016 IEEE)
[8]. Fundamentals of Sentiment Analysis:Concepts and Methodology,A.B. Pawar, M.A. Jawale and D.N. Kyatanavar (2016)
[9]. A Survey on Hate Speech Detection using Natural Language Processing, Anna Schmidt , Michael Wiegand (2017)
[10]. A Survey on Hate Speech Detection using Natural Language Processing, Anna Schmidt,MichaelWiegand
[11]. Research paper On Sentiment Analyzer By Using A Supervised Joint Topic Modeling Approach, Samruddhi S. Raut, Dr. Hemant R. Deshmukh, Asst Prof. AnkitR.Mune.cessing and the Web, DragomirRadev,MirellaLapata.
[12]. Natural Language Processing and the Web, DragomirRadev,MirellaLapata.
[13]. Analyzing Scientific Papers Based on Sentiment Analysis, DoaaMohey El-Din Mohamed Hussein
[14]. Sentiment Analysis and Opinion Mining: A Survey, G.Vinodhini,RM.Chandrasekaran