{"id":"https://openalex.org/W1992202788","doi":"https://doi.org/10.1002/meet.1450440254","title":"Fusion approach to finding opinionated blogs","display_name":"Fusion approach to finding opinionated blogs","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1992202788","doi":"https://doi.org/10.1002/meet.1450440254","mag":"1992202788"},"language":"en","primary_location":{"id":"doi:10.1002/meet.1450440254","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450440254","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450440254","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450440254","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074682260","display_name":"Kiduk Yang","orcid":"https://orcid.org/0000-0002-7328-9672"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kiduk Yang","raw_affiliation_strings":["Indiana University","\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013993748","display_name":"Ning Yu","orcid":"https://orcid.org/0000-0001-6596-9216"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Yu","raw_affiliation_strings":["Indiana University","\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008468485","display_name":"Alejandro Valerio","orcid":null},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alejandro Valerio","raw_affiliation_strings":["Indiana University","\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626319","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-4861-0540"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Indiana University","\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101031461","display_name":"Weimao Ke","orcid":"https://orcid.org/0000-0002-9961-5827"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weimao Ke","raw_affiliation_strings":["Indiana University","\u2021Indiana University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]},{"raw_affiliation_string":"\u2021Indiana University","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008468485","https://openalex.org/A5013993748","https://openalex.org/A5074682260","https://openalex.org/A5100626319","https://openalex.org/A5101031461"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.4842,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74764094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9988999962806702,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7555999755859375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693728506565094},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.6140789985656738},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5586644411087036},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5297659039497375},{"id":"https://openalex.org/keywords/expert-opinion","display_name":"Expert opinion","score":0.5202987790107727},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5057849884033203},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.4881199300289154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46305179595947266},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.4591076374053955},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45634493231773376},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3489037752151489},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.11822861433029175}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7555999755859375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693728506565094},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.6140789985656738},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5586644411087036},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5297659039497375},{"id":"https://openalex.org/C3020580240","wikidata":"https://www.wikidata.org/wiki/Q663272","display_name":"Expert opinion","level":2,"score":0.5202987790107727},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5057849884033203},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.4881199300289154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46305179595947266},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.4591076374053955},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45634493231773376},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3489037752151489},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.11822861433029175},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"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:10.1002/meet.1450440254","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450440254","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450440254","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/meet.1450440254","is_oa":true,"landing_page_url":"https://doi.org/10.1002/meet.1450440254","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/meet.1450440254","source":{"id":"https://openalex.org/S4306523999","display_name":"Proceedings of the American Society for Information Science and Technology","issn_l":"1550-8390","issn":["1550-8390","1936-1734"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the American Society for Information Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1992202788.pdf","grobid_xml":"https://content.openalex.org/works/W1992202788.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W97277479","https://openalex.org/W1516091344","https://openalex.org/W1525341925","https://openalex.org/W1530935304","https://openalex.org/W2000569744","https://openalex.org/W2020237802","https://openalex.org/W2027784239","https://openalex.org/W2029373951","https://openalex.org/W2038675187","https://openalex.org/W2059481587","https://openalex.org/W2060494110","https://openalex.org/W2062204775","https://openalex.org/W2078396654","https://openalex.org/W2107503076","https://openalex.org/W2127772938","https://openalex.org/W2133341045","https://openalex.org/W2141631351","https://openalex.org/W2160660844","https://openalex.org/W2162783380","https://openalex.org/W3042118743","https://openalex.org/W3150942237","https://openalex.org/W4234200495","https://openalex.org/W4251326898","https://openalex.org/W4254968782"],"related_works":["https://openalex.org/W2925146703","https://openalex.org/W3119564760","https://openalex.org/W1570461899","https://openalex.org/W4380987972","https://openalex.org/W1957838399","https://openalex.org/W2625932345","https://openalex.org/W3185752339","https://openalex.org/W3155676437","https://openalex.org/W2928760686","https://openalex.org/W578924573"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"paper,":[3],"we":[4],"describe":[5],"a":[6],"fusion":[7],"approach":[8,15,111],"to":[9,16,27,112],"finding":[10],"opinionated":[11,37],"blog":[12,18],"postings.":[13],"Our":[14,49],"opinion":[17,42,50,67,75,89],"retrieval":[19],"consisted":[20],"of":[21,36,54,66],"first":[22],"applying":[23],"traditional":[24],"IR":[25],"methods":[26],"retrieve":[28],"on\u2010topic":[29],"blogs":[30,38],"and":[31,98,101],"then":[32],"boosting":[33],"the":[34,55,64,77,91,102,114],"ranks":[35],"based":[39,62],"on":[40,63],"combined":[41],"scores":[43],"generated":[44],"by":[45],"multiple":[46],"assessment":[47],"methods.":[48],"module":[51],"is":[52],"composed":[53],"Opinion":[56],"Term":[57,79],"Module,":[58,80,93,104],"which":[59,81,94,105],"identifies":[60],"opinions":[61],"frequency":[65],"terms":[68,70,84],"(i.e.,":[69],"that":[71],"occur":[72],"frequently":[73],"in":[74],"blogs),":[76],"Rare":[78],"uses":[82,95,106],"uncommon/rare":[83],"(e.g.,":[85],"\u201csooo":[86],"good\u201d)":[87],"for":[88],"classification,":[90],"IU":[92,96],"(I":[97],"you)":[99],"collocations,":[100],"Adjective\u2010Verb":[103],"computational":[107],"linguistics'":[108],"distribution":[109],"similarity":[110],"learn":[113],"subjective":[115],"language":[116],"from":[117],"training":[118],"data.":[119]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}