Opinion mining: approaches, resources and challenges
Web2.0 has contributed tremendously towards the rapid growth of web contents which ensures that customers utilize existing blogs, discussion forums, e-commerce and many other sites to express their opinions and read reviews of other people on different products and services which they plan to procur...
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Online Access: | http://eprints.utm.my/id/eprint/54337/1/NaomieSalim2014_Opinionminingapproaches%2Cresources.pdf http://eprints.utm.my/id/eprint/54337/ http://www.jatit.org/volumes/Vol63No2/13Vol63No2.pdf |
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my.utm.543372018-08-12T03:49:18Z http://eprints.utm.my/id/eprint/54337/ Opinion mining: approaches, resources and challenges Al-Maimani, Maqbool Salim, Naomie Al-Naamany, Ahmed M. QA75 Electronic computers. Computer science Web2.0 has contributed tremendously towards the rapid growth of web contents which ensures that customers utilize existing blogs, discussion forums, e-commerce and many other sites to express their opinions and read reviews of other people on different products and services which they plan to procure. Such an online wealth of information over the web has helped customers, firms, manufacturers, service providers, social and government units to take proper decision to procure or enhance various products and services. This practice has triggered the need to enhance existing methods and techniques to extract and summarize opinions from different online reviews. This paper surveys recent and leading methods and techniques that are used for opinion mining and then outlines available resources which have been developed in this regard. The paper also presents few challenges and open issues that need to be addressed and researched in more depth in order to improve the way opinions are extracted and summarized to users and other interested groups. JATIT & LLS. 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54337/1/NaomieSalim2014_Opinionminingapproaches%2Cresources.pdf Al-Maimani, Maqbool and Salim, Naomie and Al-Naamany, Ahmed M. (2014) Opinion mining: approaches, resources and challenges. Journal of Theoretical and Applied Information Technology, 63 (2). pp. 343-349. ISSN 1817-3195 http://www.jatit.org/volumes/Vol63No2/13Vol63No2.pdf |
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QA75 Electronic computers. Computer science Al-Maimani, Maqbool Salim, Naomie Al-Naamany, Ahmed M. Opinion mining: approaches, resources and challenges |
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Web2.0 has contributed tremendously towards the rapid growth of web contents which ensures that customers utilize existing blogs, discussion forums, e-commerce and many other sites to express their opinions and read reviews of other people on different products and services which they plan to procure. Such an online wealth of information over the web has helped customers, firms, manufacturers, service providers, social and government units to take proper decision to procure or enhance various products and services. This practice has triggered the need to enhance existing methods and techniques to extract and summarize opinions from different online reviews. This paper surveys recent and leading methods and techniques that are used for opinion mining and then outlines available resources which have been developed in this regard. The paper also presents few challenges and open issues that need to be addressed and researched in more depth in order to improve the way opinions are extracted and summarized to users and other interested groups. |
format |
Article |
author |
Al-Maimani, Maqbool Salim, Naomie Al-Naamany, Ahmed M. |
author_facet |
Al-Maimani, Maqbool Salim, Naomie Al-Naamany, Ahmed M. |
author_sort |
Al-Maimani, Maqbool |
title |
Opinion mining: approaches, resources and challenges |
title_short |
Opinion mining: approaches, resources and challenges |
title_full |
Opinion mining: approaches, resources and challenges |
title_fullStr |
Opinion mining: approaches, resources and challenges |
title_full_unstemmed |
Opinion mining: approaches, resources and challenges |
title_sort |
opinion mining: approaches, resources and challenges |
publisher |
JATIT & LLS. |
publishDate |
2014 |
url |
http://eprints.utm.my/id/eprint/54337/1/NaomieSalim2014_Opinionminingapproaches%2Cresources.pdf http://eprints.utm.my/id/eprint/54337/ http://www.jatit.org/volumes/Vol63No2/13Vol63No2.pdf |
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