{"id":"https://openalex.org/W2508871065","doi":"https://doi.org/10.1145/2905055.2905129","title":"Behavior Analysis of Twitter Feed using Dymamic Synonym and Abbreviation Mapping Modules on top of a Trained Na\u00efve Bayes Classifier","display_name":"Behavior Analysis of Twitter Feed using Dymamic Synonym and Abbreviation Mapping Modules on top of a Trained Na\u00efve Bayes Classifier","publication_year":2016,"publication_date":"2016-03-04","ids":{"openalex":"https://openalex.org/W2508871065","doi":"https://doi.org/10.1145/2905055.2905129","mag":"2508871065"},"language":"en","primary_location":{"id":"doi:10.1145/2905055.2905129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905129","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/A5028863767","display_name":"B. N. Shankar Gowda","orcid":null},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B. N. Shankar Gowda","raw_affiliation_strings":["Bangalore Institute of Technology, Bangalore, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Bangalore Institute of Technology, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045892405","display_name":"Siddharth Mark Joseph","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddharth Mark Joseph","raw_affiliation_strings":["Syracuse University, New york, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University, New york, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015811931","display_name":"Vibha Lakshmikantha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vibha Lakshmikantha","raw_affiliation_strings":["Dept. of CS&amp;E, BNM Institute of Technology, Bangalore, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Dept. of CS&amp;E, BNM Institute of Technology, Bangalore, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028863767"],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04803998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9983000159263611,"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":0.834099292755127},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7148345708847046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6750140190124512},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6405510902404785},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6370508670806885},{"id":"https://openalex.org/keywords/synonym","display_name":"Synonym (taxonomy)","score":0.5767568349838257},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5370641350746155},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4955786466598511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4413111209869385},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3384246826171875},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08707940578460693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.834099292755127},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7148345708847046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6750140190124512},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6405510902404785},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6370508670806885},{"id":"https://openalex.org/C173483453","wikidata":"https://www.wikidata.org/wiki/Q1040689","display_name":"Synonym (taxonomy)","level":3,"score":0.5767568349838257},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5370641350746155},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4955786466598511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4413111209869385},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3384246826171875},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08707940578460693},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2905055.2905129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905055.2905129","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W1743243001","https://openalex.org/W2144378002","https://openalex.org/W2267835966","https://openalex.org/W3147292827"],"related_works":["https://openalex.org/W2376156759","https://openalex.org/W2385868535","https://openalex.org/W2757842199","https://openalex.org/W2389730202","https://openalex.org/W2394466068","https://openalex.org/W3086033917","https://openalex.org/W2366290551","https://openalex.org/W1987683558","https://openalex.org/W2349784553","https://openalex.org/W2010484471"],"abstract_inverted_index":{"The":[0,25,98,149],"current":[1],"generation":[2],"is":[3,68,79],"largely":[4],"associated":[5],"with":[6,35],"the":[7,29,50,89,101,111,131,144,160,173,179,197,204],"online":[8,55],"social":[9],"networking":[10],"services":[11],"that":[12,126],"enable":[13],"users":[14],"to":[15,37,48,70,87,140,157,171,182],"exchange":[16],"information,":[17],"emotions,":[18],"and":[19,65,95,106,118,155,195],"thoughts":[20],"in":[21,46,110,130,143,159,199],"their":[22],"own":[23],"way.":[24],"existing":[26],"techniques":[27],"highlight":[28],"static":[30],"nature":[31],"of":[32,40,54,60,103,113,151,175,201,203],"supervised":[33],"learning":[34],"respect":[36],"behavioral":[38],"analysis":[39],"twitter":[41],"posts.":[42],"In":[43],"this":[44],"work,":[45],"order":[47],"analyze":[49],"behavior":[51],"or":[52,147],"sentiments":[53],"users,":[56],"a":[57,61,83,114,184],"novel":[58],"concept":[59],"dynamic":[62],"synonym":[63],"mapping":[64,67,105,108,152],"abbreviation":[66],"proposed":[69,190],"achieve":[71],"higher":[72],"accuracy.":[73],"A":[74],"unigram":[75],"feature":[76,132,145,161],"extractor":[77],"model":[78],"used":[80],"for":[81,187],"training":[82],"Na\u00efve":[84,115],"Bayes":[85,116],"Classifier":[86,117],"classify":[88],"user's":[90],"tweets":[91,122,181],"dynamically":[92],"as":[93],"positive":[94],"negative":[96],"tweets.":[97],"paper":[99],"highlights":[100],"importance":[102],"Synonym":[104],"Abbreviation":[107],"mathematically,":[109],"context":[112],"through":[119],"custom":[120],"example":[121],"which":[123],"contain":[124],"words":[125,136,141,154,158],"are":[127,137],"not":[128],"present":[129,142],"list.":[133],"These":[134],"unknown":[135],"then":[138],"mapped":[139],"list":[146,162],"vocabulary.":[148],"process":[150],"these":[153],"abbreviations":[156],"has":[163,168],"been":[164,169],"clearly":[165],"illustrated.":[166],"Effort":[167],"made":[170],"enhance":[172],"quality":[174,185],"output":[176],"by":[177],"preprocessing":[178],"raw":[180],"obtain":[183],"dataset":[186],"analysis.":[188],"Our":[189],"methodology":[191],"proves":[192],"both":[193],"conceptually":[194],"mathematically":[196],"increase":[198],"accuracy":[200],"prediction":[202],"classifier.":[205]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
