Sentiment Analysis Of Opinion Mining
Now a days the way of expressing opinions on certain products that people purchase and the services that they receive in the various industries has been transformed considerably because of World Wide Web. Social Networking sites fascinate people to post feedbacks and reviews online on blogs, Internet forums, review portals and much more. These opinions play a very important role for customers and product manufacturers as they tend to give better knowledge of buying and selling by setting positive and negative comments on products and other information which can improve their decision making policies. Mining of such opinions have focused the researchers to pay a keen intention in developing such a system which can not only collect useful and …show more content…
Opinions can be defined as simply a positive or negative sentiment, emotion, attitude or appraisal about an entity or an aspect of an entity [1]. Mining refers to as extracting some useful information and representing it in the form of knowledge in an understandable structure as patterns, graphs etc [2]. Opinion Mining is a process to gather opinions after reviewing from the list of product features which can be identified and extracted easily. The two important aspects of Opinion Mining are Information Extraction and Question Answer [3]. Opinion mining is a technique of extracting knowledge automatically by taking opinions from others on the specific topic or problem [4]. Sentiment analysis, can be used as a synonym for opinion mining. It is used to determine polarity of a document. The major application areas are buying or selling products or services, quality control areas, policy or decision making, business intelligence by conducting marketing research and so on. We will explore the trends in the mining industry; in particular, how online reviews is reflecting the major shift in the de-cision making policies of customers. The various researchers like ([5, 6, 7, 8]) have discussed briefly the meaning of opinion mining, its techniques, tasks, sentiment analysis and other challenging aspects in summarization of opinions. Penalver-Martinez discussed opinion mining in semantic web technologies [9]. A novel technique …show more content…
3) To explicate the need of information retrieval in Opinion Mining.
4) To propose the framework using Opinion Mining The chapter has been organized as follows. Section 2 explains the background, introduces the concept of Opinion Mining and explores the existing challenges in this field, Section 3 examines the framework design and explains all the modules in determining opinions. Section 4 presents the analysis of the proposed work and evaluates the results obtained and Section 5
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