Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews
Due to the development of e-commerce and web technology, most of online Merchant sites are able to write comments about purchasing products for customer. Customer reviews expressed opinion about products or services which are collectively referred to as customer feedback data. Opinion extraction abo...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/394758 |
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| _version_ | 1832553557247655936 |
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| author | Su Su Htay Khin Thidar Lynn |
| author_facet | Su Su Htay Khin Thidar Lynn |
| author_sort | Su Su Htay |
| collection | DOAJ |
| description | Due to the development of e-commerce and web technology, most of online Merchant sites are able to write comments about purchasing products for customer. Customer reviews expressed opinion about products or services which are collectively referred to as customer feedback data. Opinion extraction about products from customer reviews is becoming an interesting area of research and it is motivated to develop an automatic opinion mining application for users. Therefore, efficient method and techniques are needed to extract opinions from reviews. In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. Our focus in this paper is to get the patterns of opinion words/phrases about the feature of product from the review text through adjective, adverb, verb, and noun. The extracted features and opinions are useful for generating a meaningful summary that can provide significant informative resource to help the user as well as merchants to track the most suitable choice of product. |
| format | Article |
| id | doaj-art-85b2cbcef4b7432396dd7325b1924a57 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-85b2cbcef4b7432396dd7325b1924a572025-02-03T05:53:49ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/394758394758Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer ReviewsSu Su Htay0Khin Thidar Lynn1University of Computer Studies, Mandalay, MyanmarMachine and Research Department, University of Computer Studies, Mandalay, MyanmarDue to the development of e-commerce and web technology, most of online Merchant sites are able to write comments about purchasing products for customer. Customer reviews expressed opinion about products or services which are collectively referred to as customer feedback data. Opinion extraction about products from customer reviews is becoming an interesting area of research and it is motivated to develop an automatic opinion mining application for users. Therefore, efficient method and techniques are needed to extract opinions from reviews. In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. Our focus in this paper is to get the patterns of opinion words/phrases about the feature of product from the review text through adjective, adverb, verb, and noun. The extracted features and opinions are useful for generating a meaningful summary that can provide significant informative resource to help the user as well as merchants to track the most suitable choice of product.http://dx.doi.org/10.1155/2013/394758 |
| spellingShingle | Su Su Htay Khin Thidar Lynn Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews The Scientific World Journal |
| title | Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews |
| title_full | Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews |
| title_fullStr | Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews |
| title_full_unstemmed | Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews |
| title_short | Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews |
| title_sort | extracting product features and opinion words using pattern knowledge in customer reviews |
| url | http://dx.doi.org/10.1155/2013/394758 |
| work_keys_str_mv | AT susuhtay extractingproductfeaturesandopinionwordsusingpatternknowledgeincustomerreviews AT khinthidarlynn extractingproductfeaturesandopinionwordsusingpatternknowledgeincustomerreviews |