{"id":"https://openalex.org/W2742771778","doi":"https://doi.org/10.1109/hsi.2017.8005029","title":"Improving sentiment classification through distinct word selection","display_name":"Improving sentiment classification through distinct word selection","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2742771778","doi":"https://doi.org/10.1109/hsi.2017.8005029","mag":"2742771778"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2017.8005029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2017.8005029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Conference on Human System Interactions (HSI)","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/A5069155758","display_name":"Heeryon Cho","orcid":"https://orcid.org/0000-0001-9912-1002"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Heeryon Cho","raw_affiliation_strings":["College of Computer Science, Kookmin University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Kookmin University, Seoul, South Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059525147","display_name":"Sang Min Yoon","orcid":"https://orcid.org/0000-0003-0001-1845"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang Min Yoon","raw_affiliation_strings":["College of Computer Science, Kookmin University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Kookmin University, Seoul, South Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069155758"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70163417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"205"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983000159263611,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.810960054397583},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7024666666984558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625890851020813},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6253994703292847},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6100989580154419},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5844173431396484},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5249999761581421},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5195808410644531},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5157304406166077},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.48865535855293274},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47239920496940613},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45887577533721924},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43700164556503296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3789931535720825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1076342761516571},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07352706789970398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810960054397583},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7024666666984558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625890851020813},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6253994703292847},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6100989580154419},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5844173431396484},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5195808410644531},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5157304406166077},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.48865535855293274},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47239920496940613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45887577533721924},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43700164556503296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3789931535720825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1076342761516571},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07352706789970398},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2017.8005029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2017.8005029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Conference on Human System Interactions (HSI)","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":11,"referenced_works":["https://openalex.org/W414110247","https://openalex.org/W1506229096","https://openalex.org/W1832693441","https://openalex.org/W2166706824","https://openalex.org/W2250966211","https://openalex.org/W2295594589","https://openalex.org/W2492583839","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W6630206152","https://openalex.org/W6697319481"],"related_works":["https://openalex.org/W2782904003","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W4226434912","https://openalex.org/W2002598339","https://openalex.org/W2133814741","https://openalex.org/W1995410415","https://openalex.org/W3108343813","https://openalex.org/W4312481107","https://openalex.org/W2482295163"],"abstract_inverted_index":{"While":[0],"the":[1,10,25,32,75,97,109,113],"performance":[2,86],"of":[3,12,28,34,77,87,94,112],"sentiment":[4,53,84],"classification":[5,85],"has":[6],"steadily":[7],"risen":[8],"through":[9],"introduction":[11],"various":[13],"feature-based":[14],"methods":[15,104],"and":[16,55,80,100,105],"distributed":[17,101,115],"representation-based":[18,103,117],"approaches,":[19],"less":[20],"attention":[21],"was":[22],"given":[23],"to":[24,73,108],"qualitative":[26],"aspect":[27],"classification,":[29,54],"for":[30,48,52,68],"instance,":[31],"identification":[33],"useful":[35,50],"words":[36,51],"in":[37,71],"individual":[38],"opinion":[39],"texts.":[40],"We":[41],"present":[42],"an":[43],"approach":[44],"using":[45],"set":[46],"operations":[47],"identifying":[49],"employ":[56],"truncated":[57],"singular":[58],"value":[59],"decomposition":[60,66],"(SVD),":[61],"a":[62],"classic":[63],"low-rank":[64],"matrix":[65],"technique":[67],"document":[69,116],"retrieval,":[70],"order":[72],"tackle":[74],"issue":[76],"both":[78],"synonymy":[79],"noise":[81],"removal.":[82],"The":[83],"our":[88],"approach,":[89],"which":[90],"concatenates":[91],"three":[92],"kinds":[93],"features,":[95],"outperforms":[96],"existing":[98,110],"word-based":[99],"word":[102],"is":[106],"comparable":[107],"state":[111],"art":[114],"approaches.":[118]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
