An opinion mining framework for Cantonese reviews

Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utiliz...

Full description

Saved in:
Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2015-10, Vol.6 (5), p.541-547
Main Authors: Chen, Jian, Huang, Dong Ping, Hu, Shuyue, Liu, Yu, Cai, Yi, Min, Huaqing
Format: Article
Language:English
Subjects:
Artificial Intelligence
Chinese languages
Computational Intelligence
Data mining
Dictionaries
Emotions
Engineering
Methods
Original Research
Product reviews
Robotics and Automation
Semantics
Sentiment analysis
Traditions
User Interfaces and Human Computer Interaction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43
cites cdi_FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43
container_end_page 547
container_issue 5
container_start_page 541
container_title Journal of ambient intelligence and humanized computing
container_volume 6
creator Chen, Jian
Huang, Dong Ping
Hu, Shuyue
Liu, Yu
Cai, Yi
Min, Huaqing
description Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utilizing the Mandarin lexical database, it’s necessary to construct a particular lexical database for Cantonese. Besides, we explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that our framework significantly outperform the traditional Mandarin sentiment analysis method using ICTCLAS.
doi_str_mv 10.1007/s12652-014-0237-8
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2919363587</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2919363587</sourcerecordid><originalsourceid>FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43</originalsourceid><addsrcrecordid>eNp1kMtKAzEUhoMoWGofwN2A62hOMpkky1K8FApudB0mnZMy1Ulq0lp8e1NGdOXZ_GfxX-Aj5BrYLTCm7jLwRnLKoKaMC0X1GZmAbjSVUMvz31-oSzLLecvKCSMAYEJgHqq460MfQzUUCZvKp3bAY0xvlY-pWrRhHwNmrBJ-9njMV-TCt-8ZZz86Ja8P9y-LJ7p6flwu5iu6FrrZ004Y503HzJqhFKDBSzQdV844I7xvmZPesU5oMK3kDrTqwDVKedkwBKzFlNyMvbsUPw6Y93YbDymUScsNGNEIqVVxwehap5hzQm93qR_a9GWB2RMcO8KxBY49wbG6ZPiYycUbNpj-mv8PfQOAyGXD</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2919363587</pqid></control><display><type>article</type><title>An opinion mining framework for Cantonese reviews</title><source>Springer Nature</source><creator>Chen, Jian ; Huang, Dong Ping ; Hu, Shuyue ; Liu, Yu ; Cai, Yi ; Min, Huaqing</creator><creatorcontrib>Chen, Jian ; Huang, Dong Ping ; Hu, Shuyue ; Liu, Yu ; Cai, Yi ; Min, Huaqing</creatorcontrib><description>Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utilizing the Mandarin lexical database, it’s necessary to construct a particular lexical database for Cantonese. Besides, we explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that our framework significantly outperform the traditional Mandarin sentiment analysis method using ICTCLAS.</description><identifier>ISSN: 1868-5137</identifier><identifier>EISSN: 1868-5145</identifier><identifier>DOI: 10.1007/s12652-014-0237-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Chinese languages ; Computational Intelligence ; Data mining ; Dictionaries ; Emotions ; Engineering ; Methods ; Original Research ; Product reviews ; Robotics and Automation ; Semantics ; Sentiment analysis ; Traditions ; User Interfaces and Human Computer Interaction</subject><ispartof>Journal of ambient intelligence and humanized computing, 2015-10, Vol.6 (5), p.541-547</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2014.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43</citedby><cites>FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Chen, Jian</creatorcontrib><creatorcontrib>Huang, Dong Ping</creatorcontrib><creatorcontrib>Hu, Shuyue</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Cai, Yi</creatorcontrib><creatorcontrib>Min, Huaqing</creatorcontrib><title>An opinion mining framework for Cantonese reviews</title><title>Journal of ambient intelligence and humanized computing</title><addtitle>J Ambient Intell Human Comput</addtitle><description>Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utilizing the Mandarin lexical database, it’s necessary to construct a particular lexical database for Cantonese. Besides, we explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that our framework significantly outperform the traditional Mandarin sentiment analysis method using ICTCLAS.</description><subject>Artificial Intelligence</subject><subject>Chinese languages</subject><subject>Computational Intelligence</subject><subject>Data mining</subject><subject>Dictionaries</subject><subject>Emotions</subject><subject>Engineering</subject><subject>Methods</subject><subject>Original Research</subject><subject>Product reviews</subject><subject>Robotics and Automation</subject><subject>Semantics</subject><subject>Sentiment analysis</subject><subject>Traditions</subject><subject>User Interfaces and Human Computer Interaction</subject><issn>1868-5137</issn><issn>1868-5145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp1kMtKAzEUhoMoWGofwN2A62hOMpkky1K8FApudB0mnZMy1Ulq0lp8e1NGdOXZ_GfxX-Aj5BrYLTCm7jLwRnLKoKaMC0X1GZmAbjSVUMvz31-oSzLLecvKCSMAYEJgHqq460MfQzUUCZvKp3bAY0xvlY-pWrRhHwNmrBJ-9njMV-TCt-8ZZz86Ja8P9y-LJ7p6flwu5iu6FrrZ004Y503HzJqhFKDBSzQdV844I7xvmZPesU5oMK3kDrTqwDVKedkwBKzFlNyMvbsUPw6Y93YbDymUScsNGNEIqVVxwehap5hzQm93qR_a9GWB2RMcO8KxBY49wbG6ZPiYycUbNpj-mv8PfQOAyGXD</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Chen, Jian</creator><creator>Huang, Dong Ping</creator><creator>Hu, Shuyue</creator><creator>Liu, Yu</creator><creator>Cai, Yi</creator><creator>Min, Huaqing</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20151001</creationdate><title>An opinion mining framework for Cantonese reviews</title><author>Chen, Jian ; Huang, Dong Ping ; Hu, Shuyue ; Liu, Yu ; Cai, Yi ; Min, Huaqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Artificial Intelligence</topic><topic>Chinese languages</topic><topic>Computational Intelligence</topic><topic>Data mining</topic><topic>Dictionaries</topic><topic>Emotions</topic><topic>Engineering</topic><topic>Methods</topic><topic>Original Research</topic><topic>Product reviews</topic><topic>Robotics and Automation</topic><topic>Semantics</topic><topic>Sentiment analysis</topic><topic>Traditions</topic><topic>User Interfaces and Human Computer Interaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Jian</creatorcontrib><creatorcontrib>Huang, Dong Ping</creatorcontrib><creatorcontrib>Hu, Shuyue</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Cai, Yi</creatorcontrib><creatorcontrib>Min, Huaqing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of ambient intelligence and humanized computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Jian</au><au>Huang, Dong Ping</au><au>Hu, Shuyue</au><au>Liu, Yu</au><au>Cai, Yi</au><au>Min, Huaqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An opinion mining framework for Cantonese reviews</atitle><jtitle>Journal of ambient intelligence and humanized computing</jtitle><stitle>J Ambient Intell Human Comput</stitle><date>2015-10-01</date><risdate>2015</risdate><volume>6</volume><issue>5</issue><spage>541</spage><epage>547</epage><pages>541-547</pages><issn>1868-5137</issn><eissn>1868-5145</eissn><abstract>Many research works are concentrating in how to handle the opinion mining for English, Chinese and Japanese, etc. However, little work has been done on opinion mining for Cantonese which is a world-wide influential language with 70 million speakers. In this paper, we point out that instead of utilizing the Mandarin lexical database, it’s necessary to construct a particular lexical database for Cantonese. Besides, we explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that our framework significantly outperform the traditional Mandarin sentiment analysis method using ICTCLAS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12652-014-0237-8</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1868-5137
ispartof Journal of ambient intelligence and humanized computing, 2015-10, Vol.6 (5), p.541-547
issn 1868-5137
1868-5145
language eng
recordid cdi_proquest_journals_2919363587
source Springer Nature
subjects Artificial Intelligence
Chinese languages
Computational Intelligence
Data mining
Dictionaries
Emotions
Engineering
Methods
Original Research
Product reviews
Robotics and Automation
Semantics
Sentiment analysis
Traditions
User Interfaces and Human Computer Interaction
title An opinion mining framework for Cantonese reviews
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T12%3A05%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20opinion%20mining%20framework%20for%20Cantonese%20reviews&rft.jtitle=Journal%20of%20ambient%20intelligence%20and%20humanized%20computing&rft.au=Chen,%20Jian&rft.date=2015-10-01&rft.volume=6&rft.issue=5&rft.spage=541&rft.epage=547&rft.pages=541-547&rft.issn=1868-5137&rft.eissn=1868-5145&rft_id=info:doi/10.1007/s12652-014-0237-8&rft_dat=%3Cproquest_cross%3E2919363587%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c386t-d39bf9d09c0e53181f5e9d27b9b93ffa0b5fb0d3819a52b187d1b677f560e1e43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2919363587&rft_id=info:pmid/&rfr_iscdi=true