{"id":"https://openalex.org/W2507976457","doi":"https://doi.org/10.1109/icis.2016.7550847","title":"Estimation of factor scores from feature values of english question and answer statements","display_name":"Estimation of factor scores from feature values of english question and answer statements","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2507976457","doi":"https://doi.org/10.1109/icis.2016.7550847","mag":"2507976457"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2016.7550847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","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/A5036039784","display_name":"Yuya Yokoyama","orcid":"https://orcid.org/0009-0001-9113-3460"},"institutions":[{"id":"https://openalex.org/I169719367","display_name":"Kyoto Prefectural University","ror":"https://ror.org/00ktqrd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I169719367"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuya Yokoyama","raw_affiliation_strings":["Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto, Japan","institution_ids":["https://openalex.org/I169719367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061039394","display_name":"Teruhisa Hochin","orcid":"https://orcid.org/0000-0001-9067-9237"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruhisa Hochin","raw_affiliation_strings":["Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028610136","display_name":"Hiroki Nomiya","orcid":"https://orcid.org/0000-0003-2028-6459"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Nomiya","raw_affiliation_strings":["Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036039784"],"corresponding_institution_ids":["https://openalex.org/I169719367"],"apc_list":null,"apc_paid":null,"fwci":1.9904,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89650307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9782000184059143,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/estimation","display_name":"Estimation","score":0.7240487933158875},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.6463800072669983},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6329103112220764},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.531509280204773},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5269516110420227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4790671765804291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4713306427001953},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44915053248405457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4365401864051819},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4337500333786011},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.42897146940231323},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3930858075618744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3739238381385803},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3426125645637512},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06299152970314026}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.7240487933158875},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.6463800072669983},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6329103112220764},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.531509280204773},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5269516110420227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4790671765804291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4713306427001953},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44915053248405457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4365401864051819},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4337500333786011},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.42897146940231323},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3930858075618744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3739238381385803},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3426125645637512},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06299152970314026},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2016.7550847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2016.7550847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1966532822","https://openalex.org/W2000389083","https://openalex.org/W2025895610","https://openalex.org/W2037858832","https://openalex.org/W2068223736","https://openalex.org/W2073707085","https://openalex.org/W2133975759","https://openalex.org/W2217545724","https://openalex.org/W4248683497"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W2621086889"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"eliminate":[3],"mismatches":[4],"between":[5],"the":[6,36,74],"intentions":[7],"of":[8,12,20,38,47,71,73],"questioners":[9],"and":[10,14,58,62],"respondents":[11],"Question":[13],"Answer":[15],"(Q&A)":[16],"sites,":[17],"nine":[18,75],"factors":[19,30,76],"impressions":[21],"for":[22],"Japanese":[23],"statements":[24,50],"have":[25,31],"experimentally":[26],"been":[27,33],"obtained.":[28],"Nine":[29],"also":[32],"obtained":[34],"from":[35],"impression":[37],"English":[39,48],"Q&A":[40,49],"statements.":[41],"This":[42],"paper":[43],"estimates":[44],"factor":[45],"scores":[46],"through":[51],"multiple":[52],"regression":[53],"analysis.":[54],"These":[55],"are":[56,77],"words":[57],"characters,":[59],"syntactic":[60],"information,":[61],"appearance":[63],"percentages.":[64],"It":[65],"is":[66],"shown":[67],"that":[68],"estimation":[69],"accuracies":[70],"all":[72],"very":[78],"good.":[79]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
