Detection and Prediction of Various Scenarios by Extraction and Analysis of Data from Social Networks |
Author(s): |
| Binayak Biswas , Sinhgad College of Engineering; Akshay Ahire, Sinhgad College of Engineering; Devendra Burad, Sinhgad College of Engineering; Nikhil Chandwani, Sinhgad College of Engineering |
Keywords: |
| Data Extraction, Data Analysis |
Abstract |
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Social media like Facebook today are not only just a website. They are now become much popular communication tool for internet users. It is a medium through which users belonging to any of category, profession can make their comments. These all comments have contained some features along with it. These comments or status are really useful which are actually viewed as their ‘OPINIONS’. Opinions are really important while we need to analyze any of product, topic, discussion and whatever which will require some user opinions to draw some inferences and conclusions from them. Social media plays an important role for this intention. In this paper we are going to extract the posts of the user and on the extracted posts we are going to classify them into various classes or categories and we are going to check whether a feedback is POSITIVE, NEGATIVE and NEUTRAL. The prediction based on various posts, comments, data on networking sites can be done to predict the feasibility of any idea, comments on various upcoming advancements, psychological decisions to be made on various ideologies. |
Other Details |
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Paper ID: IJSRDV4I30570 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 618-620 |
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