International Journal of Electrical and Computer Engineering (IJECE) Vol. 5, No. 5, October 2015, pp. 1180~1187 ISSN: 2088-8708  1180 Journal homepage: http://iaesjournal.com/online/index.php/IJECE Online Crowds Opinion-Mining it to Analyze Current Trend: A Review Haritha Akkineni*, P.V.S. Lakshmi**, B. Vijay Babu*** * Department of Computer Science and Engineering, KL University, India ** Dept of Information Technology, PVP Siddhartha Institute of Technology, Vijayawada, India *** Dept of CSE, KL University, India Article Info ABSTRACT Article history: Received Apr 30, 2015 Revised Jun 13, 2015 Accepted Jun 30, 2015 Online presence of the user has increased, there is a huge growth in the number of active users and thus the volume of data created on the online social networks is massive. Much are concentrating on the Internet Lingo. Notably most of the data on the social networking sites is made public which opens doors for companies, researchers and analyst to collect and analyze the data. We have huge volume of opinioned data available on the web we have to mine it so that we could get some interesting results out of it with could enhance the decision making process. In order to analyze the current scenario of what people are thinking focus is shifted towards opinion mining. This study presents a systematic literature review that contains a comprehensive overview of components of opinion mining, subjectivity of data, sources of opinion, the process and how does it let one analyze the current tendency of the online crowd in a particular context. Different perspectives from different authors regarding the above scenario have been presented. Research challenges and different applications that were developed with the motive opinion mining are also discussed. Keyword: Crowd Sourcing Micro Blogging Opinion Mining Social Networks Word Sense Disambiguation Copyright © 2015 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Haritha Akkineni, Research Scholar, Dept of CSE, KLU, 74-13/1-24A, Plot no: 246, New RTC Colony, Vijayawada, Andhra Pradesh, India 520007. Email:akkinenih@gmail.com 1. INTRODUCTION The increased penetration of the internet among the folks has made it a wide indispensible channel for people to communicate. There is much growth of the World Wide Web not only in its size but also in terms of services and the content that is being provided. There is a huge growth in the number of active users and thus the volume of data created on the online social networks is massive. "Twitter, a popular micro- blogging service, has 288 million monthly active users, who post about 500 million tweets a day" [1]. This itself depicts that the enormous amount of user generated content is being generated every day. There has been a drift in how the information is being managed and shared. From only just consuming the available content to annotating it and generating new information. There can be different ways like comments on the exiting information, bookmark pages, provide ratings, share their ideas with community at large. Online presence of the user has increased, Much are concentrating on the Internet Lingo. Notably most of the data on the social networking sites is made public which opens doors for companies, researchers and analyst to collect and analyze the data. Researchers are monitoring on the trending topics, memes and some notable events including political events [2], stock market fluctuations [3], disease epidemics [4] etc to source out the voice of crowd and observe the present tendency of online crowds towards a particular issue.