Sentiment Analysis of Web Scraped Product Reviews using Hadoop
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
As in the world there is large volume of data, individuals are proposed to develop a framework that can distinguish and classify data based on opinions. Sentiment analysis (opinion mining) can be considered as the one of the major application of Natural Language Processing (NLP). We are looking forward to sentiment product reviews using sentence level categorization in Hadoop. We have used web scraping method to retrieve product reviews from different websites which is then used as dataset in this experiment. Finally, we compare the sentiment reviews between both the websites, so that decision making will be lot easier for the user regarding purchasing of the product.
Authors and Affiliations
Mahek Merchant, Ricky Parmar, Nishil Shah, P. Boominathan
Keywords
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