{"id":"https://openalex.org/W2052935438","doi":"https://doi.org/10.1145/1277741.1277921","title":"The utility of linguistic rules in opinion mining","display_name":"The utility of linguistic rules in opinion mining","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2052935438","doi":"https://doi.org/10.1145/1277741.1277921","mag":"2052935438"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5019932507","display_name":"Xiaowen Ding","orcid":"https://orcid.org/0000-0002-9937-0321"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaowen Ding","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050282459","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0002-1917-8365"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019932507"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":17.067149,"has_fulltext":false,"cited_by_count":209,"citation_normalized_percentile":{"value":0.99286855,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"811","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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/T11644","display_name":"Spam and Phishing Detection","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7550848722457886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118406891822815},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6044666171073914},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5744071006774902},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5715141296386719},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5603233575820923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5447767972946167},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4753836393356323},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43323174118995667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40811988711357117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1334003210067749}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7550848722457886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118406891822815},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6044666171073914},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5744071006774902},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5715141296386719},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5603233575820923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5447767972946167},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4753836393356323},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43323174118995667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40811988711357117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1334003210067749},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1515087027","https://openalex.org/W2081375810","https://openalex.org/W2086277751","https://openalex.org/W2160660844","https://openalex.org/W2364964713","https://openalex.org/W2519011775","https://openalex.org/W2787893582"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2605642833","https://openalex.org/W2382028496","https://openalex.org/W3046268510"],"abstract_inverted_index":{"Online":[0],"product":[1,30],"reviews":[2],"are":[3,53,87],"one":[4],"of":[5,18,26,40,50],"the":[6,11,16,20,44,47,69,85],"important":[7],"opinion":[8,41,75],"sources":[9],"on":[10,29],"Web.":[12],"This":[13],"paper":[14],"studies":[15],"problem":[17,70],"determining":[19],"semantic":[21,48],"orientations":[22,49],"(positive":[23],"or":[24],"negative)":[25],"opinions":[27],"expressed":[28],"features":[31],"in":[32],"reviews.":[33],"Most":[34],"existing":[35],"approaches":[36],"use":[37,62],"a":[38,73],"set":[39],"words":[42,52],"for":[43],"purpose.":[45],"However,":[46],"many":[51],"context":[54],"dependent.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"propose":[60],"to":[61,66],"some":[63],"linguistic":[64],"rules":[65,83],"deal":[67],"with":[68,72],"together":[71],"new":[74],"aggregation":[76],"function.":[77],"Extensive":[78],"experiments":[79],"show":[80],"that":[81],"these":[82],"and":[84],"function":[86],"highly":[88],"effective.":[89],"A":[90],"system,":[91],"called":[92],"Opinion":[93],"Observer,":[94],"has":[95],"also":[96],"been":[97],"built.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":19}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}