{"id":"https://openalex.org/W2804639438","doi":"https://doi.org/10.1145/3164541.3164637","title":"Similar Comment Analysis Using Selector Rating Estimates in Relation to Comments","display_name":"Similar Comment Analysis Using Selector Rating Estimates in Relation to Comments","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2804639438","doi":"https://doi.org/10.1145/3164541.3164637","mag":"2804639438"},"language":"en","primary_location":{"id":"doi:10.1145/3164541.3164637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","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/A5013546854","display_name":"Hiromitsu Shiina","orcid":null},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromitsu Shiina","raw_affiliation_strings":["Okayama University of Science, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Okayama University of Science, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047552714","display_name":"Nobuyuki Kobayashi","orcid":"https://orcid.org/0000-0001-8262-7656"},"institutions":[{"id":"https://openalex.org/I3130536658","display_name":"Sanyo Gakuen University","ror":"https://ror.org/010pkba38","country_code":"JP","type":"education","lineage":["https://openalex.org/I3130536658"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuyuki Kobayashi","raw_affiliation_strings":["Sanyo Gakuen University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanyo Gakuen University, Okayama, Japan","institution_ids":["https://openalex.org/I3130536658"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05346957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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":0.9970999956130981,"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/relation","display_name":"Relation (database)","score":0.7021432518959045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912631392478943},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6651310920715332},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6598290801048279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054202318191528},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.5991377234458923},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5180854797363281},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5117254257202148},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.466643363237381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42932048439979553},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41421234607696533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3851187825202942},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3777661621570587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2391851246356964},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0831291675567627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.05634021759033203}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7021432518959045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912631392478943},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6651310920715332},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6598290801048279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054202318191528},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.5991377234458923},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5180854797363281},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5117254257202148},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.466643363237381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42932048439979553},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41421234607696533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3851187825202942},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3777661621570587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2391851246356964},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0831291675567627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.05634021759033203},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3164541.3164637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","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":16,"referenced_works":["https://openalex.org/W184758014","https://openalex.org/W1598251544","https://openalex.org/W1614298861","https://openalex.org/W2053968437","https://openalex.org/W2064675550","https://openalex.org/W2080558111","https://openalex.org/W2096175520","https://openalex.org/W2097089247","https://openalex.org/W2163455955","https://openalex.org/W2163605009","https://openalex.org/W2166473218","https://openalex.org/W2171928131","https://openalex.org/W2234490075","https://openalex.org/W2251202616","https://openalex.org/W2497783201","https://openalex.org/W2963514026"],"related_works":["https://openalex.org/W1573992054","https://openalex.org/W1599690842","https://openalex.org/W2753053412","https://openalex.org/W2665157442","https://openalex.org/W3108840034","https://openalex.org/W4388169484","https://openalex.org/W2363259562","https://openalex.org/W2061775871","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Though":[0],"multiple-choice":[1],"analysis":[2],"is":[3],"widely":[4],"used":[5,14],"in":[6,15,88],"questionnaire":[7,34],"analyses,":[8],"free":[9],"descriptive":[10],"answers":[11],"are":[12,44,47,68],"also":[13],"conjunction":[16],"with":[17],"it.":[18],"In":[19],"this":[20,66],"study,":[21],"by":[22],"looking":[23],"at":[24],"the":[25,30,33,69,72,77,90],"individual":[26],"freely-described":[27,52],"comments":[28,53,56],"from":[29,58],"perspective":[31],"of":[32,42,65,75,79,92],"as":[35,94],"a":[36,95],"whole":[37],"and":[38,54],"estimating":[39],"what":[40],"kind":[41],"selectors":[43],"selected,":[45],"we":[46],"able":[48],"to":[49],"extract":[50],"similar":[51],"generate":[55],"estimated":[57],"selector":[59],"selection":[60],"examples.":[61],"The":[62],"main":[63],"features":[64],"study":[67],"thinking":[70],"surrounding":[71],"general":[73],"rating":[74],"comments,":[76],"generation":[78],"feature":[80],"vectors":[81],"for":[82],"convolutional":[83],"neural":[84],"networks":[85],"(CNN),":[86],"and,":[87],"particular,":[89],"use":[91],"CNN":[93],"filter.":[96]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
