{"id":"https://openalex.org/W2029752552","doi":"https://doi.org/10.1145/1643823.1643921","title":"Comparing semantic associations in sentences and paragraphs for opinion detection in blogs","display_name":"Comparing semantic associations in sentences and paragraphs for opinion detection in blogs","publication_year":2009,"publication_date":"2009-10-27","ids":{"openalex":"https://openalex.org/W2029752552","doi":"https://doi.org/10.1145/1643823.1643921","mag":"2029752552"},"language":"en","primary_location":{"id":"doi:10.1145/1643823.1643921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067730154","display_name":"Malik Muhammad Saad Missen","orcid":"https://orcid.org/0000-0001-9903-0274"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Malik Muhammad Saad Missen","raw_affiliation_strings":["Universit\u00e9 de Toulouse, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052301458","display_name":"Mohand Boughanem","orcid":"https://orcid.org/0000-0001-7004-0807"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohand Boughanem","raw_affiliation_strings":["Universit\u00e9 de Toulouse, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047618628","display_name":"Guillaume Cabanac","orcid":"https://orcid.org/0000-0003-3060-6241"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Cabanac","raw_affiliation_strings":["Universit\u00e9 de Toulouse, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I17866349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17866349"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9991999864578247,"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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8259490728378296},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7897676229476929},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7407838702201843},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7237955331802368},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6841956377029419},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6672942042350769},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6179780960083008},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6064736247062683},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5651330351829529},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5309431552886963},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46591830253601074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3805217742919922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11254054307937622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259490728378296},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7897676229476929},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7407838702201843},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7237955331802368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6841956377029419},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6672942042350769},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6179780960083008},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6064736247062683},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5651330351829529},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5309431552886963},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46591830253601074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3805217742919922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11254054307937622},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1643823.1643921","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1643823.1643921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Management of Emergent Digital EcoSystems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.46000000834465027,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W143775383","https://openalex.org/W152811699","https://openalex.org/W172597201","https://openalex.org/W1503333931","https://openalex.org/W1561908597","https://openalex.org/W1577081527","https://openalex.org/W1584259869","https://openalex.org/W2019509999","https://openalex.org/W2022204871","https://openalex.org/W2038721957","https://openalex.org/W2068502090","https://openalex.org/W2108743173","https://openalex.org/W2113381424","https://openalex.org/W2125556865","https://openalex.org/W2127128140","https://openalex.org/W2128887138","https://openalex.org/W2137678828","https://openalex.org/W2150409425","https://openalex.org/W2160660844","https://openalex.org/W2404480901","https://openalex.org/W2519011775","https://openalex.org/W2592270044","https://openalex.org/W2613678836","https://openalex.org/W2950496597","https://openalex.org/W6629993956","https://openalex.org/W6676072134","https://openalex.org/W6679047219"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072"],"abstract_inverted_index":{"Opinion":[0],"Detection":[1],"is":[2],"one":[3],"of":[4,14,18,32,43,54,101,123],"the":[5,12,33,52,99,141],"most":[6],"interesting":[7],"and":[8,49,94,96,148,154],"challenging":[9],"work":[10,20,59],"in":[11,23],"field":[13],"Information":[15,132],"Retrieval.":[16],"Lot":[17],"research":[19],"already":[21],"exists":[22],"this":[24,58,78],"area":[25],"with":[26,70,104,120],"some":[27],"distinctive":[28],"work.":[29],"A":[30],"review":[31],"reveals":[34],"that":[35,65,137],"researchers":[36],"have":[37],"been":[38],"working":[39],"on":[40,82],"different":[41,89,106],"levels":[42],"granularity":[44],"like":[45],"documents,":[46],"passages,":[47],"sentences":[48,93],"words":[50],"for":[51],"task":[53],"opinion":[55,143],"detection.":[56],"In":[57],"we":[60,111],"revise":[61],"our":[62,102,138],"previous":[63],"approach":[64,81,103,139],"combines":[66],"document":[67],"level":[68],"heuristics":[69],"a":[71,83],"semantic":[72,79],"similarity":[73,80],"based":[74],"method.":[75],"We":[76],"evaluate":[77],"huge":[84],"data":[85],"collection":[86,117],"using":[87,113,150],"three":[88,155],"setups":[90],"involving":[91],"both":[92],"passages":[95],"then":[97],"compare":[98],"performance":[100],"these":[105],"setups.":[107],"For":[108],"evaluation":[109],"purposes,":[110],"are":[112],"TREC":[114,124],"Blog":[115,125],"2006":[116,126],"(148":[118],"GB)":[119],"50":[121],"topics":[122],"over":[127],"baseline":[128,142],"obtained":[129],"through":[130],"Terrier":[131],"System":[133],"Platform.":[134],"Results":[135],"show":[136],"improves":[140],"MAP":[144],"by":[145],"28.89%,":[146],"30.13%":[147],"32.26%":[149],"setup":[151],"one,":[152],"two":[153],"respectively.":[156]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
