{"id":"https://openalex.org/W2508379269","doi":"https://doi.org/10.1145/2905055.2905338","title":"Removing Flaming Problems from Social Networking Sites using Semi-Supervised Learning Approach","display_name":"Removing Flaming Problems from Social Networking Sites using Semi-Supervised Learning Approach","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2508379269","doi":"https://doi.org/10.1145/2905055.2905338","mag":"2508379269"},"language":"en","primary_location":{"id":"doi:10.1145/2905055.2905338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","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/A5089488736","display_name":"Vishakha Mal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vishakha Mal","raw_affiliation_strings":["Shri Ramdeobaba College of Engineering & Management, Nagpur, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Shri Ramdeobaba College of Engineering & Management, Nagpur, Maharashtra, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112206342","display_name":"Ameeta Agrawal","orcid":"https://orcid.org/0000-0001-6189-099X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. J. Agrawal","raw_affiliation_strings":["Shri Ramdeobaba College of Engineering & Management, Nagpur, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Shri Ramdeobaba College of Engineering & Management, Nagpur, Maharashtra, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089488736"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78509294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9954000115394592,"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":0.9954000115394592,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9943000078201294,"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/lexical-analysis","display_name":"Lexical analysis","score":0.7301777005195618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7025601267814636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.640771746635437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6167200803756714},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.593272864818573},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5912455320358276},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5776196122169495},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5597657561302185},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.515684962272644},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4835812449455261},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.47634389996528625},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41435861587524414},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3656400442123413},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18527153134346008}],"concepts":[{"id":"https://openalex.org/C176982825","wikidata":"https://www.wikidata.org/wiki/Q835922","display_name":"Lexical analysis","level":2,"score":0.7301777005195618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7025601267814636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640771746635437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6167200803756714},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.593272864818573},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5912455320358276},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5776196122169495},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5597657561302185},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.515684962272644},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4835812449455261},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.47634389996528625},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41435861587524414},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3656400442123413},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18527153134346008},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2905055.2905338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2016313253","https://openalex.org/W2040298491","https://openalex.org/W2064088735","https://openalex.org/W2163074454","https://openalex.org/W2540860795"],"related_works":["https://openalex.org/W4386014872","https://openalex.org/W1847536016","https://openalex.org/W4361193986","https://openalex.org/W3149094754","https://openalex.org/W2148703997","https://openalex.org/W4366851046","https://openalex.org/W3172681236","https://openalex.org/W2033371749","https://openalex.org/W4389581355","https://openalex.org/W2158873310"],"abstract_inverted_index":{"Natural":[0],"Language":[1],"Processing":[2],"(N.L.P.)":[3],"is":[4,44,52,79],"a":[5,101],"field":[6],"of":[7,41,58,89,115,149,163],"Computer":[8,15],"Science":[9],"concerned":[10],"with":[11,83,175],"the":[12,26,39,72,176],"interactions":[13],"between":[14],"and":[16,56,86,107,124,154],"Human":[17],"(Natural)":[18],"Languages.":[19],"Social":[20],"Networking":[21],"Sites":[22],"(S.N.S.)":[23],"are":[24],"amongst":[25],"most":[27],"effective":[28],"communication":[29],"tools":[30],"now":[31],"days.":[32],"But":[33],"it":[34],"also":[35,158],"gave":[36],"rise":[37],"to":[38,46,93,118,173],"problem":[40],"flaming":[42,50,84,177],"which":[43],"difficult":[45],"deal":[47,174],"with.":[48],"A":[49],"incident":[51],"triggered":[53],"by":[54],"comments":[55],"actions":[57],"users":[59],"in":[60,117],"S.N.S.":[61],"that":[62,109],"ends":[63],"up":[64],"damaging":[65],"reputation":[66],"or":[67],"causing":[68],"negative":[69],"impact":[70],"on":[71,81],"target":[73],"party.":[74],"So,":[75],"this":[76,96],"review":[77,103],"paper":[78,97],"based":[80],"dealing":[82],"problems":[85],"hence":[87],"prevention":[88],"damages":[90],"caused":[91],"due":[92],"them.":[94],"In":[95],"we":[98],"have":[99,157],"presented":[100],"brief":[102],"about":[104],"various":[105],"classifiers":[106],"methods":[108],"can":[110],"be":[111],"used":[112],"for":[113],"classification":[114],"documents":[116],"required":[119],"classes":[120],"namely":[121],"Positive,":[122],"Negative":[123],"Neutral,":[125],"such":[126],"as":[127],"Sentiment":[128],"Analysis,":[129,131],"Discourse":[130],"Na\u00efve":[132],"Bayes":[133],"Classifier[1][2],":[134],"Maximum":[135,167],"Entropy":[136,168],"Classifier[3],":[137],"Back":[138],"Propagation":[139],"Neural":[140],"Networks[2],":[141],"Topic":[142],"Modeling[5],":[143],"Semi-Supervised":[144,164],"Learning[1]":[145],"etc.":[146],"N.L.P.":[147],"techniques":[148],"Parsing,":[150],"P.O.S.":[151],"Tagging":[152],"[4],":[153],"Tokenization":[155],"etc":[156],"been":[159,171],"studied.":[160],"The":[161],"method":[162],"Learning":[165],"including":[166],"Classifier":[169],"has":[170],"proposed":[172],"problems.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}