{"id":"https://openalex.org/W2151448352","doi":"https://doi.org/10.1109/fskd.2011.6019652","title":"Research on short text classification for web forum","display_name":"Research on short text classification for web forum","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2151448352","doi":"https://doi.org/10.1109/fskd.2011.6019652","mag":"2151448352"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5070261100","display_name":"HE Xiao-chun","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochun He","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790470","display_name":"Conghui Zhu","orcid":"https://orcid.org/0000-0003-3132-3059"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Conghui Zhu","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":["MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070261100"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74018933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"1052","last_page":"1056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9934999942779541,"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":0.8055917024612427},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6247349977493286},{"id":"https://openalex.org/keywords/noisy-text-analytics","display_name":"Noisy text analytics","score":0.5883381366729736},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5424384474754333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398074984550476},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5322221517562866},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5227675437927246},{"id":"https://openalex.org/keywords/text-graph","display_name":"Text graph","score":0.4638773202896118},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.45126014947891235},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44060513377189636},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43237417936325073},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.410347580909729},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.3652406632900238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.334352970123291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055917024612427},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6247349977493286},{"id":"https://openalex.org/C151375590","wikidata":"https://www.wikidata.org/wiki/Q17147076","display_name":"Noisy text analytics","level":4,"score":0.5883381366729736},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5424384474754333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398074984550476},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5322221517562866},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5227675437927246},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.4638773202896118},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.45126014947891235},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44060513377189636},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43237417936325073},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.410347580909729},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.3652406632900238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.334352970123291},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1646006088","https://openalex.org/W2005422315","https://openalex.org/W2034531159","https://openalex.org/W2159707167","https://openalex.org/W2161443453","https://openalex.org/W2171836785","https://openalex.org/W2362200903","https://openalex.org/W2389102698","https://openalex.org/W2390743577","https://openalex.org/W2439041746"],"related_works":["https://openalex.org/W2770471982","https://openalex.org/W2770474375","https://openalex.org/W2152349655","https://openalex.org/W4384067529","https://openalex.org/W4390515129","https://openalex.org/W2475935882","https://openalex.org/W2158314654","https://openalex.org/W4233549638","https://openalex.org/W1846983049","https://openalex.org/W2602957669"],"abstract_inverted_index":{"The":[0,17],"unique":[1],"characteristic":[2],"of":[3,20,64,74,84,134],"short":[4,7,21,44,67,135],"text":[5,8,15,22,45,91,107,136],"makes":[6,27],"classification":[9],"quite":[10],"different":[11],"from":[12],"traditional":[13],"long":[14],"processing.":[16],"feature":[18,75,92],"space":[19],"is":[23,58,126],"so":[24],"sparse,":[25],"which":[26,69,98],"it":[28],"notoriously":[29],"difficult":[30],"to":[31,41,60,114,128],"extract":[32],"sufficient":[33],"and":[34,87,132],"effective":[35,127],"features.":[36,108],"In":[37,77],"this":[38],"paper,":[39],"aiming":[40],"classify":[42],"the":[43,62,65,72,82,106,116,123,130],"on":[46,55,96],"web":[47],"forum":[48],"accurately,":[49],"a":[50,89],"novel":[51],"short-text-processing":[52],"method":[53,125],"based":[54,95],"semantic":[56,103],"extension":[57],"introduced":[59],"enhance":[61],"content":[63],"original":[66],"text,":[68],"effectively":[70],"solves":[71],"problem":[73],"sparse.":[76],"addition,":[78],"we":[79],"put":[80],"forward":[81],"concept":[83],"Key-Pattern":[85],"(KP)":[86],"propose":[88],"new":[90],"representation":[93],"approach":[94],"KP,":[97],"extracts":[99],"phrase":[100],"with":[101],"powerful":[102],"information":[104],"as":[105],"Traditional":[109],"classifier":[110],"model":[111],"are":[112],"applied":[113],"estimate":[115],"text's":[117],"classification,":[118],"experimental":[119],"results":[120],"show":[121],"that":[122],"proposed":[124],"improve":[129],"accuracy":[131],"recall":[133],"classification.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
