{"id":"https://openalex.org/W2109193189","doi":"https://doi.org/10.1109/icmlc.2011.6016768","title":"ANALYSIS OF THREE METHODS FOR WEB-BASED OPINION MINING","display_name":"ANALYSIS OF THREE METHODS FOR WEB-BASED OPINION MINING","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2109193189","doi":"https://doi.org/10.1109/icmlc.2011.6016768","mag":"2109193189"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004569159","display_name":"Haibing Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145669","display_name":"Shanghai Police College","ror":"https://ror.org/0479fds27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145669"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai-Bing Ma","raw_affiliation_strings":["Department of Political Work, Armed Police Force Political Academy of Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Political Work, Armed Police Force Political Academy of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210145669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052991780","display_name":"Yibing Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145669","display_name":"Shanghai Police College","ror":"https://ror.org/0479fds27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145669"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Bing Geng","raw_affiliation_strings":["Department of Political Work, Armed Police Force Political Academy of Shanghai, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Political Work, Armed Police Force Political Academy of Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210145669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028956400","display_name":"Qiu Jun-rui","orcid":null},"institutions":[{"id":"https://openalex.org/I177933477","display_name":"Second Military Medical University","ror":"https://ror.org/04tavpn47","country_code":"CN","type":"education","lineage":["https://openalex.org/I177933477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Rui Qiu","raw_affiliation_strings":["Library of Second Military Medical University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Library of Second Military Medical University, Shanghai, China","institution_ids":["https://openalex.org/I177933477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004569159"],"corresponding_institution_ids":["https://openalex.org/I4210145669"],"apc_list":null,"apc_paid":null,"fwci":2.1379,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89027522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"915","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8443663120269775},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8309634923934937},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6595938205718994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6502744555473328},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6315224170684814},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6084449887275696},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5677449703216553},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5530114769935608},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.46089664101600647},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4270513355731964},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3598881959915161},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11152109503746033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8443663120269775},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8309634923934937},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6595938205718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6502744555473328},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6315224170684814},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6084449887275696},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5677449703216553},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5530114769935608},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.46089664101600647},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4270513355731964},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3598881959915161},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11152109503746033},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1951269370","https://openalex.org/W2115023510","https://openalex.org/W2126854223","https://openalex.org/W2155328222","https://openalex.org/W2163455955","https://openalex.org/W2165437209","https://openalex.org/W2166706824","https://openalex.org/W2168625136","https://openalex.org/W3146306708","https://openalex.org/W4250860020"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2593058442","https://openalex.org/W1631585051","https://openalex.org/W2975174210","https://openalex.org/W2150818832","https://openalex.org/W4200238620"],"abstract_inverted_index":{"For":[0],"the":[1,30,33,37,42,53],"purpose":[2],"of":[3,7,32],"measuring":[4],"semantic":[5,26,49],"orientation":[6],"documents,":[8],"we":[9],"implemented":[10],"an":[11],"opinion":[12],"mining":[13],"tool":[14],"which":[15,28,46],"hybrids":[16],"three":[17],"different":[18],"methods:":[19],"The":[20],"first":[21],"one":[22,55],"is":[23,39,56],"based":[24,40,57],"on":[25,41,58],"patterns,":[27],"simplify":[29],"structure":[31],"natural":[34],"language":[35],"syntax;":[36],"second":[38],"weighted":[43],"sentiment":[44],"lexicon,":[45],"used":[47],"as":[48],"feature":[50],"words;":[51],"and":[52,76],"third":[54],"traditional":[59],"KNN":[60],"or":[61],"SVM":[62],"text":[63],"classification":[64],"method.":[65],"Our":[66],"experiments":[67],"show":[68],"that":[69],"each":[70],"method":[71],"has":[72],"its":[73],"own":[74],"shorts":[75],"advantages.":[77]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}