CLOPINIONMINER: OPINION TARGET EXTRACTION IN A CROSSLANGUAGE SCENARIO
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 2
Abstract
In almost every e-Commerce industry today reviews are essential for both customers as well as the company. Reviews help the customers to sort out the right products and choose the ones that they find best. On the other hand it assists the companies to assess their products and receive feedback from their customers. This feedback can be used to update their products and services or even in designing their future products. But often these reviews are dispersed across several websites and are available in various languages. Therefore searching these reviews and extracting practical and useful information from them is a daunting task. The techniques propounded here can be applied to comments on videos, blogs, news and several other areas and consequently expressive facts can be acquired from it. Information in statistical form is more preferred than as it can be inferred quite efficiently and effortlessly by computers as well as humans. As a result, the process of translation of opinions from a disarrayed forms into a compact and more easily interpretable form. Machine learning methods are incorporated into data mining techniques to achieve this ultimate goal.
Authors and Affiliations
Mr. Yogesh Hiraman Palve , Prof. B. K. Patil
Keywords
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