{"id":"https://openalex.org/W3154106396","doi":"https://doi.org/10.1109/tcss.2021.3069413","title":"Feature-Based Twitter Sentiment Analysis With Improved Negation Handling","display_name":"Feature-Based Twitter Sentiment Analysis With Improved Negation Handling","publication_year":2021,"publication_date":"2021-04-09","ids":{"openalex":"https://openalex.org/W3154106396","doi":"https://doi.org/10.1109/tcss.2021.3069413","mag":"3154106396"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2021.3069413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2021.3069413","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","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/A5023225966","display_name":"Itisha Gupta","orcid":"https://orcid.org/0000-0001-5270-3515"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Itisha Gupta","raw_affiliation_strings":["Banasthali Vidyapith, Vanasthali, India"],"raw_orcid":"https://orcid.org/0000-0001-5270-3515","affiliations":[{"raw_affiliation_string":"Banasthali Vidyapith, Vanasthali, India","institution_ids":["https://openalex.org/I102117144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037247181","display_name":"Nisheeth Joshi","orcid":"https://orcid.org/0000-0002-9256-3825"},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nisheeth Joshi","raw_affiliation_strings":["Banasthali Vidyapith, Vanasthali, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Banasthali Vidyapith, Vanasthali, India","institution_ids":["https://openalex.org/I102117144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023225966"],"corresponding_institution_ids":["https://openalex.org/I102117144"],"apc_list":null,"apc_paid":null,"fwci":4.0595,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94723999,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":"4","first_page":"917","last_page":"927"},"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":0.9968000054359436,"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/T10028","display_name":"Topic Modeling","score":0.9927999973297119,"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/negation","display_name":"Negation","score":0.8615245819091797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723811268806458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7294409275054932},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.6575231552124023},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5941079258918762},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5924428105354309},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5681008696556091},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5312620997428894},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4822264611721039},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.45960476994514465},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.435346782207489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43444982171058655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43149763345718384},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4293067157268524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3607480823993683},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3232736885547638}],"concepts":[{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.8615245819091797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723811268806458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7294409275054932},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.6575231552124023},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5941079258918762},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5924428105354309},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5681008696556091},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5312620997428894},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4822264611721039},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.45960476994514465},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.435346782207489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43444982171058655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43149763345718384},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4293067157268524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3607480823993683},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3232736885547638},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/tcss.2021.3069413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2021.3069413","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W15334911","https://openalex.org/W40549020","https://openalex.org/W810042281","https://openalex.org/W1589554437","https://openalex.org/W1743243001","https://openalex.org/W1853031019","https://openalex.org/W1992039201","https://openalex.org/W2022204871","https://openalex.org/W2062913298","https://openalex.org/W2063596712","https://openalex.org/W2084046180","https://openalex.org/W2086612585","https://openalex.org/W2124156373","https://openalex.org/W2139686600","https://openalex.org/W2156413587","https://openalex.org/W2157765050","https://openalex.org/W2160052288","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2250243742","https://openalex.org/W2252065932","https://openalex.org/W2267835966","https://openalex.org/W2272486091","https://openalex.org/W2306941105","https://openalex.org/W2397682354","https://openalex.org/W2460474657","https://openalex.org/W2474930732","https://openalex.org/W2514299353","https://openalex.org/W2567406479","https://openalex.org/W2569656908","https://openalex.org/W2591334920","https://openalex.org/W2739774142","https://openalex.org/W2752809326","https://openalex.org/W2767058267","https://openalex.org/W2769566324","https://openalex.org/W2787816817","https://openalex.org/W2788347302","https://openalex.org/W2789239487","https://openalex.org/W2807074613","https://openalex.org/W2888662092","https://openalex.org/W2897383717","https://openalex.org/W2902121240","https://openalex.org/W2919929668","https://openalex.org/W2944575651","https://openalex.org/W2973896660","https://openalex.org/W2979572588","https://openalex.org/W4233787372","https://openalex.org/W4312808911","https://openalex.org/W6601618085","https://openalex.org/W6622938743","https://openalex.org/W6635364467","https://openalex.org/W6637805623","https://openalex.org/W6639024449","https://openalex.org/W6678331010","https://openalex.org/W6683147150","https://openalex.org/W6693772185","https://openalex.org/W6718766952","https://openalex.org/W6720990243","https://openalex.org/W6751922160"],"related_works":["https://openalex.org/W2059922809","https://openalex.org/W2387527986","https://openalex.org/W2479250593","https://openalex.org/W4283261428","https://openalex.org/W1988325893","https://openalex.org/W2131148043","https://openalex.org/W3029012650","https://openalex.org/W2092783274","https://openalex.org/W2117643817","https://openalex.org/W3021501837"],"abstract_inverted_index":{"There":[0],"is":[1,13,136,163,239],"remarkable":[2],"progress":[3],"in":[4,33,144],"the":[5,64,88,131,146,166,179,183,187,193,212],"research":[6],"of":[7,16,43,90,124,126,148,198,228,232],"Twitter":[8,158,168],"sentiment":[9],"analysis":[10],"(TSA)":[11],"which":[12,55,96,101,117,145],"a":[14,29,111,222],"technique":[15],"extracting":[17],"opinion":[18],"by":[19,39,192,225],"automatically":[20],"processing":[21],"digital":[22],"data.":[23],"In":[24,104,202],"this":[25,106],"article,":[26],"we":[27],"propose":[28],"feature-based":[30,157],"TSA":[31,189],"system":[32,159,190],"conjunction":[34],"with":[35,100,160,216],"improved":[36],"negation":[37,116,142,149,161,214,218],"accounting":[38,162],"leveraging":[40],"different":[41,73],"types":[42],"features":[44],"such":[45,76],"as":[46,77],"lexicon-based,":[47],"morphological,":[48],"POS-based,":[49],"n-gram":[50],"features,":[51],"and":[52,62,84,87,186],"many":[53],"more,":[54],"would":[56],"be":[57],"used":[58],"for":[59],"classifier":[60,97,181],"training":[61],"have":[63],"strong":[65],"impact":[66,231],"on":[67,109,165,236],"polarity":[68,121,125],"determination.":[69],"We":[70],"use":[71],"three":[72],"state-of-the-art":[74,188],"classifiers":[75,185],"support":[78],"vector":[79],"machine":[80],"(SVM),":[81],"Naive":[82],"Bayesian,":[83],"decision":[85],"tree,":[86],"series":[89],"experiments":[91,205],"are":[92,206],"conducted":[93,208],"to":[94,139,209],"determine":[95],"works":[98],"well":[99],"feature":[102],"group.":[103],"addition,":[105,203],"work":[107],"focuses":[108],"investigating":[110],"significant":[112],"linguistic":[113],"phenomenon":[114],"called":[115],"can":[118],"either":[119],"change":[120],"or":[122],"strength":[123],"opinionated":[127],"words.":[128],"To":[129],"enhance":[130],"classification":[132,237],"performance,":[133],"an":[134],"algorithm":[135],"also":[137,207],"developed":[138,191],"handle":[140],"those":[141],"tweets":[143],"presence":[147],"does":[150],"not":[151],"necessarily":[152],"mean":[153],"negation.":[154],"The":[155,174],"proposed":[156,213],"evaluated":[164],"benchmark":[167],"data":[169],"set":[170],"SemEval-2013":[171,199],"Task":[172,200],"2.":[173,201],"experimental":[175],"results":[176],"demonstrate":[177,210],"that":[178,211],"SVM":[180],"outperforms":[182],"other":[184],"NRC":[194],"Canada":[195],"winning":[196],"team":[197],"extensive":[204],"strategy":[215],"incorporated":[217],"exception":[219],"rules":[220],"provides":[221],"substantial":[223],"improvement":[224],"preventing":[226],"misclassification":[227],"tweets.":[229],"Finally,":[230],"each":[233],"preprocessing":[234],"module":[235],"performance":[238],"presented.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}