Internet, & more unambiguously the creation of WWW in the early 1990s, helped people to build an interconnected global platform where information can be stored, shared, and consumed by anyone with an electronic device which has the ability to connect to the Web. This provides a way of putting together lots of information, ideas, and opinion. An interactive platform was born to post content, messages, and opinions under one roof, and the platform is known as social media. Social media has acquired massive popularity and importance that why today almost everyone can't stay away from it. Social media is not only a medium for people to express their thoughts, moreover, but it is also a very powerful tool which can be used by businesses to focus on new and existing customers and increase profit with the help of social media analytics. This paper starts with a discussion on social media with its significance & pitfalls. Later on, this paper presents a brief introduction of sentiment analysis in social media and give an experimental work on sentiment analysis in a social game review.
TopSocial media is fuel for business nowadays and a daily basic need for every person to share the life moment, memories and views. Moreover, social media applications from daily life, numerous research papers on these applications have also been available. For example, authors in (Liu, Cao, Lin, Huang, & Zhou, 2007), suggested a model for sentiment analysis forecast sales of an organization. In the research paper(McGlohon, Glance, & Reiter, 2010), authors used for company merchants and their products. This (Hong & Skiena, 2010) research paper, shows relations within the community opinions and NFL betting, using twitter and blogs. In the study(Marvell Solutions, n.d.), authors linked civic view and Twitter opinion polls. A research paper written by (Cerezo, 2004), used Twitter opinions poll to predict election results in a country. In (B. Chen, Zhu, Kifer, & Lee, 2010), the study considered political perspectives. In (Yano & Smith, 2010), authors present a method for sentiment analysis to forecasting statement measurements of political blogs. In (Asur & Huberman, 2010; Joshi, Das, Gimpel, & Smith, 2010; Sadikov, Parameswaran, & Venetis, 2009), authors used blogs, Twitter reviews, and public opinions of a movie to predict box-office collection. In (Miller, Sathi, Wiesenthal, Leskovec, & Potts, 2011), social media networks were examined using sentiment flow. In (Mohammad, Tony, & Yang, 2013), the authors show a study, to find how genders fluctuated on emotive axes, using sentiments and opinions in emails. In (Mohammad, 2012), authors analyze and track emotions in stories and tales. In (Bollen, Mao, & Zeng, 2011), the author studies the Twitter data and forecast the stock market using sentiment analysis. In (Bar-Haim, Dinur, Feldman, Fresko, & Goldstein, 2011; Le Caillec, Itani, Guriot, & Rakotondratsimba, 2017), (Zhang & Skiena, 2010), Authors study trading strategies by using the blogs sentiment and news website sentiments. In (Sakunkoo & Sakunkoo, 2009), the authors present societal impacts by study reviews in an online book store. In (Groh & Hauffa, 2011), societal associations were described and shows using sentiment analysis(Castellanos et al., 2011).