Paper Details

Recently, social media is playing a vital role in social networking and sharing of data. Social mediais favored by many users as it is available to millions of people without any limitations to share their opinions, peopleshare experience and concerns via their status.Twitter API, twitter4j, is processed to search for the tweets based on the geo location. People’s posts on socialnetwork gives us a better concern to take decision about the particular system. Evaluating such data in social network isquite a challenging process.In the proposed system, there will be a workflow to mine the data which integrates both qualitative analysis andlarge scale data mining technique. Based on the different prominent themes tweets will be categorized into differentgroups. It uses multi label classification technique as each label falls into different categories and all the attributes areindependent to each other. Label based measures will be taken to analyze the results and comparing them with theexisting sentiment analysis technique.

Rohit B. Pawar, Kishori B. Chavan, Shivani S. Gurav, Pooja G. Adake, Rohan R. Shelar, “Mining social Media Data for Understanding Different views of News”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 582-586, March 2017.