Survey on Mining Opinions and Sentiments in Social Media Annie Syrien Research scholar, Department of Computer Science and Applications, Bangalore University, Bengaluru -56. M. Hanumanthappa Professor, Department of Computer Science and Applications, Bangalore University, Bengaluru -56. S Regina Lourdhu Suganthi Research scholar, Department of Computer Science and Applications, Bangalore University, Bengaluru -56. Abstract:- The development of web2.0 has envisaged great impact in processing user generated content into useful resources through various mining algorithms. The focus has been placed on mining social media for opinions, sentiments, attitudes and emotions. In the present days the market largely depends on promoting their products through social media and hence it has become an integral part of business. The promotions can be for the products, events, individuals, topics or politics and the like. Though promotions have very important advantage in gaining high profit for products, new business launch, unpredicted fame for individuals and so on, where the desired market aspirers go to an extent of investing a huge corpus to achieve, may not lead to success always. Thus the other alternative is social media, where in the user generated content is genuine, due to the fact that the user is free from external influences and just gives the real information. This information acts as unbiased source to be processed using mining techniques to derive meaningful patterns to improve business activities. In this survey paper various techniques for sentiment analysis and opinion mining of social media data has been discussed and also reviewed the different works that has been carried out in this field. Keywords— Social media, opinion mining, sentiment analysis 1. INTRODUCTION The data available online are analyzed in order to extract useful information in various fields such as business, politics, entertainment, organization, events and topics. Advancement in hardware devices, anytime anywhere access to information has made larger impact on the way one can communicate with other and share the resources. People´s opinions have become a key factor for making decisions, not only for individuals but also for government and commercial sectors [7]. In social media millions of people share their ideas, views, reviews, ratings on various events, topics, organizations, business products where these information can be further analyzed in order to extract the useful information where it can be used to draw the useful conclusions and suggestions for future implementations and developments. In the recent past opinion mining and sentiment analysis gained a vast scope in the field of web data mining. The fast growth of online user generated contents in blogs, wikis and web forums lead to the era of processing to derive important information. Due to the huge data production from the online social networking users, the opinion mining and sentiment analysis is attracting large set of people both from industry and academia. Jinhui et al. [4] states that the rapidly evolving social networks provide a platform for communication, information sharing, and collaboration among friends, colleagues, alumnus, business partners, and many other social relations. To be accompanied by, increasingly rich and massive heterogeneous media data have been generated by the users, such as images, videos, audios, tweets, tags, categories, titles, geo-locations, comments, and viewer ratings, which offer an unprecedented opportunity for studying novel theories and technologies for social media analysis and mining. Recently more and more research is been carried out in this field. 1.1 SOCIAL MEDIA Social media is an internet based communication tool that empowers people to share information. To understand better the term social media, social indicates associating with people and spending time in order to develop their relationships whereas media indicates tool for communication such as internet, TV, radio, newspaper etc. here our focus is internet. So social media can be stated as, An electronic platform for socializing people. Some example of social media sites are Facebook, Twitter, Youtube, LinkedIn, Digg etc. Initially people involved in social media to associate with their friends and lost friends, gradually they improved to the status of updating and consuming any information on social media, these led to vast generation of user data which could be further processed for future development. 1.2 OPINION MINING AND SENTIMENT ANALYSIS Opinions are subjective expressions of emotions, feelings, attitudes or sentiments towards entities, events and their properties. One important aspect of opinions is the fact that they have targets: opinions are expressed for objects (i.e. entities or events) and their attributes [5]. Opinion mining is a field of study where in a large scale opinions are studied in order to classify positive or negative sentiments through sentence level, document level and feature level opinions. There are three components of opinion mining, the first one is opinion holder, the second is object and the third is opinion. The opinion holder is a person or an organization that holds opinion on specific object. The object is an item on which opinion is expressed such as topic, organization, event, individuals and product. The opinion International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Published by, www.ijert.org NCRIT - 2016 Conference Proceedings Volume 4, Issue 27 Special Issue - 2016