A review of opinion mining and sentiment classification framework in social networks

The Web has dramatically changed the way we express opinions on certain products that we have purchased and used, or for services that we have received in the various industries. Opinions and reviews can be easily posted on the Web. such as in merchant sites, review portals, blogs, Internet forums,...

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Bibliographic Details
Main Authors: Lo, Yee, Potdar, Vidyasagar
Other Authors: Okyay Kaynak
Format: Conference Paper
Published: IEEE 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/7731
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author Lo, Yee
Potdar, Vidyasagar
author2 Okyay Kaynak
author_facet Okyay Kaynak
Lo, Yee
Potdar, Vidyasagar
author_sort Lo, Yee
building Curtin Institutional Repository
collection Online Access
description The Web has dramatically changed the way we express opinions on certain products that we have purchased and used, or for services that we have received in the various industries. Opinions and reviews can be easily posted on the Web. such as in merchant sites, review portals, blogs, Internet forums, and much more. These data are commonly referred to as usergenerated content or user-generated media. Both the product manufacturers, as well as potential customers are very interested in this online 'word-of-mouth', as it provides product manufacturers information on their customers likes and dislikes, as well as the positive and negative comments on their products whenever available, giving them better knowledge of their products limitations and advantages over competitors; and also providing potential customers with useful and 'first-hand' information on the products and/or services to aid in their purchase decision making process. This paper discusses the existing works on opinion mining and sentiment classification of customer feedback and reviews online, and evaluates the different techniques used for the process. It focuses on thc areas covered by the evaluated papers, points out the areas that are well covered by many researchers and areas that are neglected in opinion mining and sentiment classification which are open for future research opportunity.
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publishDate 2009
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spelling curtin-20.500.11937-77312022-12-09T05:23:40Z A review of opinion mining and sentiment classification framework in social networks Lo, Yee Potdar, Vidyasagar Okyay Kaynak Mukesh Mohania Customer Reviews Product Reviews Opinion Mining Market Intelligence The Web has dramatically changed the way we express opinions on certain products that we have purchased and used, or for services that we have received in the various industries. Opinions and reviews can be easily posted on the Web. such as in merchant sites, review portals, blogs, Internet forums, and much more. These data are commonly referred to as usergenerated content or user-generated media. Both the product manufacturers, as well as potential customers are very interested in this online 'word-of-mouth', as it provides product manufacturers information on their customers likes and dislikes, as well as the positive and negative comments on their products whenever available, giving them better knowledge of their products limitations and advantages over competitors; and also providing potential customers with useful and 'first-hand' information on the products and/or services to aid in their purchase decision making process. This paper discusses the existing works on opinion mining and sentiment classification of customer feedback and reviews online, and evaluates the different techniques used for the process. It focuses on thc areas covered by the evaluated papers, points out the areas that are well covered by many researchers and areas that are neglected in opinion mining and sentiment classification which are open for future research opportunity. 2009 Conference Paper http://hdl.handle.net/20.500.11937/7731 10.1109/DEST.2009.5276705 IEEE fulltext
spellingShingle Customer Reviews
Product Reviews
Opinion Mining
Market Intelligence
Lo, Yee
Potdar, Vidyasagar
A review of opinion mining and sentiment classification framework in social networks
title A review of opinion mining and sentiment classification framework in social networks
title_full A review of opinion mining and sentiment classification framework in social networks
title_fullStr A review of opinion mining and sentiment classification framework in social networks
title_full_unstemmed A review of opinion mining and sentiment classification framework in social networks
title_short A review of opinion mining and sentiment classification framework in social networks
title_sort review of opinion mining and sentiment classification framework in social networks
topic Customer Reviews
Product Reviews
Opinion Mining
Market Intelligence
url http://hdl.handle.net/20.500.11937/7731