{"id":"https://openalex.org/W3208199396","doi":"https://doi.org/10.1109/icccnt51525.2021.9579916","title":"Social Networking Sites Data Analysis using NLP and ML to Predict Depression","display_name":"Social Networking Sites Data Analysis using NLP and ML to Predict Depression","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3208199396","doi":"https://doi.org/10.1109/icccnt51525.2021.9579916","mag":"3208199396"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5021974621","display_name":"Md. Tazmim Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Tazmim Hossain","raw_affiliation_strings":["Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089651266","display_name":"Md. Arafat Rahman Talukder","orcid":"https://orcid.org/0000-0001-7681-7218"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Arafat Rahman Talukder","raw_affiliation_strings":["Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707280","display_name":"Nusrat Jahan","orcid":"https://orcid.org/0000-0003-2749-0292"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nusrat Jahan","raw_affiliation_strings":["Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021974621"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.6327,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72086945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961491703987122},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6864928007125854},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6825662851333618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6819009780883789},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6237863302230835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.61375892162323},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.610710620880127},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5387884378433228},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5265110731124878},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5227073431015015},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.5136396288871765},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4988136291503906},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4119483232498169},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20640623569488525},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17480090260505676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11049506068229675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961491703987122},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6864928007125854},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6825662851333618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6819009780883789},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6237863302230835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.61375892162323},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.610710620880127},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5387884378433228},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5265110731124878},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5227073431015015},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.5136396288871765},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4988136291503906},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4119483232498169},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20640623569488525},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17480090260505676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11049506068229675},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2279354358","https://openalex.org/W2773200982","https://openalex.org/W2809356716","https://openalex.org/W2888709122","https://openalex.org/W2927148761","https://openalex.org/W2935921205","https://openalex.org/W2954641772","https://openalex.org/W2971823407","https://openalex.org/W2971842183","https://openalex.org/W2982339493","https://openalex.org/W2998644122","https://openalex.org/W3017280632","https://openalex.org/W3031779902","https://openalex.org/W3036916992","https://openalex.org/W3093600732","https://openalex.org/W3120158733"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W3089416646","https://openalex.org/W4367335949","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732","https://openalex.org/W4382052559"],"abstract_inverted_index":{"Depression":[0],"is":[1,35,63],"an":[2,61],"acute":[3],"problem":[4,34],"throughout":[5],"the":[6,39,45],"world,":[7],"where":[8],"more":[9],"than":[10],"264":[11],"million":[12],"people":[13,27,40],"are":[14,41,49],"suffering":[15,50],"from":[16,51,82],"it.":[17],"Due":[18],"to":[19,57],"worst":[20],"and":[21,89,115,147],"prolong":[22],"depression":[23],"near":[24],"around":[25],"800000":[26],"dies":[28],"in":[29],"every":[30],"year.":[31],"The":[32],"real":[33],"that":[36,47],"most":[37],"of":[38,44,76,104,108,112],"not":[42,66],"concern":[43],"fact":[46],"they":[48],"depression.":[52],"Here,":[53],"our":[54,139],"aim":[55],"was":[56,80],"find":[58],"out":[59],"whether":[60],"individual":[62],"depressed":[64],"or":[65],"by":[67],"analyzing":[68],"social":[69,84],"media":[70,85],"text":[71,123],"information.":[72],"Our":[73],"dataset":[74],"consists":[75],"1500":[77],"sentences,":[78],"which":[79,134],"collected":[81],"different":[83,130],"platforms-":[86],"Facebook,":[87],"Tweeter,":[88],"Instagram.":[90],"Then":[91],"we":[92,120],"have":[93],"performed":[94],"natural":[95],"language":[96],"based":[97],"data":[98,118],"pre-processing":[99],"approaches":[100],"such":[101],"astokenization,":[102],"remove":[103,107,111],"stop":[105],"words,":[106],"empty":[109],"string,":[110],"punctuations,":[113],"stemming":[114],"lemmatizing.":[116],"After":[117],"preprocessing,":[119],"considered":[121],"processed":[122],"as":[124],"input.":[125],"We":[126],"work":[127],"on":[128],"six":[129,142],"machine":[131],"learning":[132],"classifiers":[133],"produced":[135],"great":[136],"accuracy":[137],"over":[138],"dataset.":[140],"Among":[141],"algorithms,":[143],"Multinomial":[144],"Naive":[145],"Bayes":[146],"Logistic":[148],"Regression":[149],"provided":[150],"95&#x0025;":[151],"accuracy.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
