Opinion Mining using Machine Learning Algorithms |
Author(s): |
| Tejas Zarekar , Bharati Vidyapeeth College Of Engineering, Navi Mumbai; Kunal Shinde, Bharati Vidyapeeth College Of Engineering, Navi Mumbai; Rohit Nair, Bharati Vidyapeeth College Of Engineering, Navi Mumbai; Torana Kamble, Bharati Vidyapeeth College Of Engineering, Navi Mumbai |
Keywords: |
| Opinion Mining, Distributed Database, Machine Learning, HDFS, HBase, Hadoop |
Abstract |
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Feedback is one of the most important phase in a product development life cycle. But an honest opinion or a proper feedback isn’t readily available or comes as a paid service. With the ever-growing online trend and social media use, millions of users share their views, opinions, ideas and reviews about almost everything they encounter in their daily life. The required information can be obtained from social media APIs and news APIs, thus enabling us to create a generalized opinion of the masses. Mining these tweets, comments, posts and other available data gives us a summarized view of the whole trend and how the users react to the products available in the market. This in turn can help an organization to get an idea of what the users expect from their products, what their shortcomings are and how they can improvise to improve their products. |
Other Details |
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Paper ID: IJSRDV4I120132 Published in: Volume : 4, Issue : 12 Publication Date: 01/03/2017 Page(s): 131-133 |
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