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A New Approach to Ontology-Based Semantic Modelling for Opinion Mining

[av_one_full first] [av_tab_container position='sidebar_tab sidebar_tab_left' boxed='border_tabs' initial='1'] [av_tab title='Paper Title' icon_select='yes' icon='ue828' font='entypo-fontello'] Research Topic ID:DA201703 A New Approach to Ontology-Based Semantic Modelling for Opinion Mining. Abstract:- With the fast growth of World Wide Web 2.0, a great number of opinions about a variety of products have been published in blogs, forums, and social networks. Opinion mining tools are needed to enable users to efficiently process a large number of reviews found online, in order to determine the underlying opinions. This paper presents…

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A Novel Approach for Sentimental Analysis and Opinion Mining based on SentiWordNet using Web Data

A Novel Approach for Sentimental Analysis and Opinion Mining based on SentiWordNet using Web Data. A Novel Approach for Sentimental Analysis and Opinion Mining based on SentiWordNet using Web Data Abstracts- Opinion mining is an art of tracking the mood of the public about a particular product or topic from a huge set of opinions or reviews publically available in web. In this work, a novel approach is proposed based on SentiWordNet, which generates count of score words into seven categories such as strong-positive, positive, weak-positive, neutral,…

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Aspect based Opinion Mining for Mobile Phones

Aspect based Opinion Mining for Mobile Phones Aspect based Opinion Mining for Mobile Phones. Abstract- With the explosion of Web 2.0, platforms such as blogs, e-commerce sites, peer-to-peer networks and social media, consumers have a broad platform and unlimited power to share their experiences in the form of reviews. With this, bulks of reviews are available for a single product, that needs to be analyzed, processed and mine. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information retrieval task that defines the…

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