{"id":"https://openalex.org/W4396852811","doi":"https://doi.org/10.1145/3647444.3647924","title":"Statistical Exploration and Sentiment Analysis of WhatsApp Chats using Supervised Learning","display_name":"Statistical Exploration and Sentiment Analysis of WhatsApp Chats using Supervised Learning","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396852811","doi":"https://doi.org/10.1145/3647444.3647924"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","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/A5101453670","display_name":"Aakarsh Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aakarsh Sharma","raw_affiliation_strings":["Amity School of Engineering and Technology, Amity University Gurugram, India"],"affiliations":[{"raw_affiliation_string":"Amity School of Engineering and Technology, Amity University Gurugram, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058211440","display_name":"Shweta Sinha","orcid":"https://orcid.org/0000-0002-9195-5077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shweta Sinha","raw_affiliation_strings":["Computer Science &amp; Engineering, Amity University Haryana, India"],"affiliations":[{"raw_affiliation_string":"Computer Science &amp; Engineering, Amity University Haryana, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101453670"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1742,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60839441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.991100013256073,"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":0.991100013256073,"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":0.9549999833106995,"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":0.9495999813079834,"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":0.7616830468177795},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7571289539337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46793457865715027},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4605170488357544},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4553232491016388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35072579979896545},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0962708592414856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616830468177795},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7571289539337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46793457865715027},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4605170488357544},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4553232491016388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35072579979896545},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0962708592414856}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","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":10,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W2099813784","https://openalex.org/W2251939518","https://openalex.org/W2787318412","https://openalex.org/W2792317186","https://openalex.org/W2949998441","https://openalex.org/W2950813464","https://openalex.org/W2964236337","https://openalex.org/W6674691379","https://openalex.org/W7006258987"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"paper":[1,72],"presents":[2],"the":[3,35,49,54,64,71],"sentiment":[4,24,32,86],"analysis":[5,33,80],"of":[6,68],"WhatsApp":[7],"chat":[8,56],"data":[9],"while":[10],"also":[11],"evaluating":[12],"user":[13,52,89],"activity,":[14],"employing":[15],"VADER":[16],"and":[17,30,38,58,66,88],"supervised":[18,31],"learning.":[19],"The":[20,41],"study":[21],"encompasses":[22],"both":[23],"classification":[25],"utilizing":[26],"VADER's":[27],"lexicon-based":[28],"approach":[29],"using":[34],"Naive":[36],"Bayes":[37],"SVM":[39],"model.":[40],"research":[42],"extends":[43],"to":[44],"statistical":[45,60],"exploration":[46],"like":[47],"identifying":[48],"most":[50],"active":[51],"within":[53],"group":[55],"dataset":[57],"other":[59],"information.":[61],"By":[62],"contrasting":[63],"efficiency":[65],"accuracy":[67],"these":[69],"techniques,":[70],"aids":[73],"in":[74],"method":[75],"selection":[76],"based":[77],"on":[78],"specific":[79],"goals.":[81],"Results":[82],"offer":[83],"insights":[84],"into":[85],"trends":[87],"engagement":[90],"for":[91],"informed":[92],"decision-making.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
