{"id":"https://openalex.org/W2606902231","doi":"https://doi.org/10.1177/0165551517703514","title":"Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons","display_name":"Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons","publication_year":2017,"publication_date":"2017-04-19","ids":{"openalex":"https://openalex.org/W2606902231","doi":"https://doi.org/10.1177/0165551517703514","mag":"2606902231"},"language":"en","primary_location":{"id":"doi:10.1177/0165551517703514","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551517703514","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5075257716","display_name":"Christopher S. G. Khoo","orcid":"https://orcid.org/0000-0002-8072-1072"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Christopher SG Khoo","raw_affiliation_strings":["Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058694281","display_name":"Sathik Basha Johnkhan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sathik Basha Johnkhan","raw_affiliation_strings":["Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075257716"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":10.9506,"has_fulltext":false,"cited_by_count":270,"citation_normalized_percentile":{"value":0.9857211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"44","issue":"4","first_page":"491","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9905999898910522,"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":0.9901000261306763,"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/lexicon","display_name":"Lexicon","score":0.9551423788070679},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8197333216667175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7331274747848511},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7087270617485046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6816108822822571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.644760012626648},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.45296692848205566},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.43868115544319153},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3054478168487549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08772584795951843}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.9551423788070679},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8197333216667175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331274747848511},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7087270617485046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6816108822822571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.644760012626648},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45296692848205566},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.43868115544319153},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3054478168487549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08772584795951843},{"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":2,"locations":[{"id":"doi:10.1177/0165551517703514","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551517703514","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/83570","is_oa":false,"landing_page_url":"http://hdl.handle.net/10220/42704","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3048563442","display_name":null,"funder_award_id":"Tier 1","funder_id":"https://openalex.org/F4320320766","funder_display_name":"Nanyang Technological University"}],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W6760838","https://openalex.org/W38739846","https://openalex.org/W43249347","https://openalex.org/W57995434","https://openalex.org/W203864031","https://openalex.org/W1490960179","https://openalex.org/W1521626219","https://openalex.org/W1524281572","https://openalex.org/W1593045043","https://openalex.org/W1880262756","https://openalex.org/W1951269370","https://openalex.org/W1964867474","https://openalex.org/W1987425720","https://openalex.org/W2014902591","https://openalex.org/W2021175103","https://openalex.org/W2040467972","https://openalex.org/W2044877801","https://openalex.org/W2049231082","https://openalex.org/W2050522887","https://openalex.org/W2082291422","https://openalex.org/W2084046180","https://openalex.org/W2088117761","https://openalex.org/W2105468141","https://openalex.org/W2119821739","https://openalex.org/W2143722227","https://openalex.org/W2148034183","https://openalex.org/W2148603752","https://openalex.org/W2160660844","https://openalex.org/W2160772775","https://openalex.org/W2168625136","https://openalex.org/W2296544548","https://openalex.org/W2595233870","https://openalex.org/W2918046465","https://openalex.org/W2951278869","https://openalex.org/W3133994440","https://openalex.org/W4205807230","https://openalex.org/W4234859835","https://openalex.org/W4239510810","https://openalex.org/W4247297565"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2150818832","https://openalex.org/W2975174210","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W2605642833","https://openalex.org/W2382028496"],"abstract_inverted_index":{"This":[0],"article":[1],"introduces":[2],"a":[3,72,111,125,163],"new":[4],"general-purpose":[5],"sentiment":[6,50,53,91,107,139,154,159,170],"lexicon":[7,143,180,190],"called":[8],"WKWSCI":[9,142,189],"Sentiment":[10],"Lexicon":[11,39],"and":[12,40,59,71,82,131,137,157,187],"compares":[13],"it":[14],"with":[15,124,168],"five":[16],"existing":[17],"lexicons:":[18],"Hu":[19,79,117,177],"&":[20,80,118,178],"Liu":[21,81,119,179],"Opinion":[22],"Lexicon,":[23,29],"Multi-perspective":[24],"Question":[25],"Answering":[26],"(MPQA)":[27],"Subjectivity":[28],"General":[30],"Inquirer,":[31],"National":[32],"Research":[33],"Council":[34],"Canada":[35],"(NRC)":[36],"Word-Sentiment":[37],"Association":[38],"Semantic":[41],"Orientation":[42],"Calculator":[43],"(SO-CAL)":[44],"lexicon.":[45],"The":[46,141],"effectiveness":[47],"of":[48,96,106,128,148,166],"the":[49,56,121,145,151,158,176,188],"lexicons":[51,84],"for":[52,88,103,134,183,191],"categorisation":[54,155],"at":[55],"document":[57],"level":[58,61],"sentence":[60],"was":[62],"evaluated":[63],"using":[64],"an":[65],"Amazon":[66],"product":[67,89,184],"review":[68,90,185],"data":[69,75],"set":[70],"news":[73,152],"headlines":[74,153],"set.":[76],"WKWSCI,":[77],"MPQA,":[78],"SO-CAL":[83],"are":[85,101],"equally":[86],"good":[87],"categorisation,":[92],"obtaining":[93],"accuracy":[94,123,147],"rates":[95],"75%\u201377%":[97],"when":[98,110],"appropriate":[99],"weights":[100],"used":[102,182],"different":[104],"categories":[105],"words.":[108],"However,":[109],"training":[112],"corpus":[113],"is":[114,173],"not":[115],"available,":[116],"obtained":[120,144,162],"best":[122,146],"simple-minded":[126],"approach":[127],"counting":[129],"positive":[130],"negative":[132],"words":[133],"both":[135],"document-level":[136],"sentence-level":[138],"categorisation.":[140],"69%":[149],"on":[150],"task,":[156],"strength":[160],"values":[161],"Pearson":[164],"correlation":[165],"0.57":[167],"human-assigned":[169],"values.":[171],"It":[172],"recommended":[174],"that":[175],"be":[181],"texts":[186],"non-review":[192],"texts.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
