{"id":"https://openalex.org/W3011860286","doi":"https://doi.org/10.1145/3377049.3377078","title":"A Comparative Sentiment Analysis On Bengali Facebook Posts","display_name":"A Comparative Sentiment Analysis On Bengali Facebook Posts","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3011860286","doi":"https://doi.org/10.1145/3377049.3377078","mag":"3011860286"},"language":"en","primary_location":{"id":"doi:10.1145/3377049.3377078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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/A5041603177","display_name":"S. M. Samiul Salehin","orcid":null},"institutions":[{"id":"https://openalex.org/I135366938","display_name":"Sylhet Agricultural University","ror":"https://ror.org/000n1k313","country_code":"BD","type":"education","lineage":["https://openalex.org/I135366938"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"S. M. Samiul Salehin","raw_affiliation_strings":["Department of Computer Science and Engineering, Sylhet Engineering College, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sylhet Engineering College, Bangladesh","institution_ids":["https://openalex.org/I135366938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074421487","display_name":"Rasel Miah","orcid":null},"institutions":[{"id":"https://openalex.org/I135366938","display_name":"Sylhet Agricultural University","ror":"https://ror.org/000n1k313","country_code":"BD","type":"education","lineage":["https://openalex.org/I135366938"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Rasel Miah","raw_affiliation_strings":["Department of Computer Science and Enginnering, Sylhet Engineering College, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Enginnering, Sylhet Engineering College, Bangladesh","institution_ids":["https://openalex.org/I135366938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420839","display_name":"Md. Saiful Islam","orcid":"https://orcid.org/0000-0001-9236-380X"},"institutions":[{"id":"https://openalex.org/I133190216","display_name":"Shahjalal University of Science and Technology","ror":"https://ror.org/05hm0vv72","country_code":"BD","type":"education","lineage":["https://openalex.org/I133190216"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Saiful Islam","raw_affiliation_strings":["Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shahjalal University of Science and Technology, Bangladesh","institution_ids":["https://openalex.org/I133190216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041603177"],"corresponding_institution_ids":["https://openalex.org/I135366938"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83122772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.998199999332428,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9932000041007996,"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/bengali","display_name":"Bengali","score":0.944120466709137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8281943202018738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902707457542419},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6950769424438477},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.6665893793106079},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6661010980606079},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6323122978210449},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6318334341049194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5215834975242615},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5188727974891663},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4943203926086426},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17695298790931702}],"concepts":[{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.944120466709137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8281943202018738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902707457542419},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6950769424438477},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.6665893793106079},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6661010980606079},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6323122978210449},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6318334341049194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5215834975242615},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5188727974891663},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4943203926086426},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17695298790931702},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377049.3377078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1634225020","https://openalex.org/W2166706824","https://openalex.org/W2267835966","https://openalex.org/W2330376137","https://openalex.org/W2789239487","https://openalex.org/W2810374907","https://openalex.org/W2811376654"],"related_works":["https://openalex.org/W2595988085","https://openalex.org/W2979979539","https://openalex.org/W4323310348","https://openalex.org/W4312833533","https://openalex.org/W3214973351","https://openalex.org/W2539163683","https://openalex.org/W3214477747","https://openalex.org/W3127425528","https://openalex.org/W3179186032","https://openalex.org/W4366958820"],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2,10,91,135,159,185,212,252,277],"social":[3,52,68],"network":[4],"is":[5,46,56,142,202,221,235],"generating":[6],"a":[7,72,114,145,157,228,249],"huge":[8],"amount":[9],"texts":[11],"and":[12,64,110,112,128,168,196,214],"drawing":[13],"attentions.":[14],"Sentiment":[15],"Analysis":[16],"(SA)":[17],"extracts":[18],"useful":[19],"information":[20],"from":[21],"such":[22,39,71],"data.":[23],"Maximum":[24],"researches":[25],"on":[26,31,50,79],"SA":[27],"have":[28],"been":[29,77],"done":[30,78],"the":[32,88,218,245,265],"English":[33],"language,":[34],"but":[35,268],"others":[36],"main":[37],"languages":[38],"as":[40],"Bengali":[41,51,80,95],"requests":[42],"obligation":[43],"too.":[44],"It":[45],"pivotal":[47],"to":[48,85,117,173,216],"work":[49,75],"posts":[53,97],"because":[54],"it":[55],"sixth":[57],"most":[58],"spoken":[59],"language":[60],"by":[61,98,156],"native":[62],"speakers":[63],"heavily":[65],"used":[66],"in":[67,94,101,139,244],"media.":[69],"Although":[70],"crowd,":[73],"modest":[74],"has":[76],"SA.":[81],"This":[82],"paper":[83],"proposes":[84],"automatically":[86],"classify":[87],"overall":[89],"polarity":[90,146],"sentiments":[92],"expressed":[93],"Facebook":[96,99,125],"users":[100],"five":[102],"classes:":[103],"Positive,":[104,106],"Strong":[105,108],"Negative,":[107],"Negative":[109],"Neutral,":[111],"determine":[113],"fruitful":[115],"approach":[116,172,256,263],"solve":[118],"this":[119,174,241],"problem.":[120],"Samples":[121],"are":[122],"collected":[123],"through":[124],"Graph":[126],"API":[127],"later":[129],"divided":[130],"into":[131],"two":[132],"different":[133],"types":[134],"corpuses.":[136],"Each":[137],"sample":[138],"both":[140],"corpuses":[141],"annotated":[143],"with":[144],"label":[147],"(positive,":[148],"strong":[149,152],"positive,":[150],"negative,":[151],"negative":[153],"or":[154],"neutral)":[155],"body":[158],"ten":[160],"independent":[161],"annotators.":[162],"We":[163],"take":[164],"supervised":[165,169],"machine":[166,181,261],"learning":[167,171,182,226,255,262],"deep":[170,225],"classification":[175,188,242],"problem":[176],"for":[177,199,240,264,271],"each":[178,200,205],"corpus.":[179],"In":[180,224],"approach,":[183,227],"comparison":[184],"three":[186],"established":[187],"algorithms":[189],"namely":[190,233],"Naive":[191],"Bayes,":[192],"Support":[193],"Vector":[194],"Machine":[195],"Logistic":[197],"Regression":[198],"corpus":[201,267,273],"shown.":[203],"For":[204],"classifier,":[206],"an":[207,275],"input":[208],"feature":[209],"(a":[210],"combination":[211],"unigram":[213],"bigram":[215],"achieve":[217],"best":[219,239],"result)":[220],"experimented":[222],"with.":[223],"popular":[229],"Recurrent":[230],"Neural":[231],"Network":[232],"LSTM":[234],"tested.":[236],"SVM":[237],"performs":[238,269],"task":[243],"pre-processed":[246,266],"corpus;":[247],"producing":[248,274],"maximum":[250],"accuracy":[251,276],"86.7%.":[253],"Deep":[254],"achieves":[257],"lower":[258],"result":[259],"than":[260],"better":[270],"unpre-processed":[272],"72.86%.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}