{"id":"https://openalex.org/W2902875143","doi":"https://doi.org/10.1109/icacci.2018.8554749","title":"Predictive analysis of drug reviews using Gibbs sampling topic modeling","display_name":"Predictive analysis of drug reviews using Gibbs sampling topic modeling","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902875143","doi":"https://doi.org/10.1109/icacci.2018.8554749","mag":"2902875143"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5045058203","display_name":"V. Kakulapati","orcid":"https://orcid.org/0000-0002-1753-3298"},"institutions":[{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":[],"is_corresponding":true,"raw_author_name":"V. Kakulapati","raw_affiliation_strings":["Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad"],"affiliations":[{"raw_affiliation_string":"Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad","institution_ids":["https://openalex.org/I4399598377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055839795","display_name":"Sunil Bhutada","orcid":"https://orcid.org/0000-0003-4862-0551"},"institutions":[{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Sunil Bhutada","raw_affiliation_strings":["Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad"],"affiliations":[{"raw_affiliation_string":"Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad","institution_ids":["https://openalex.org/I4399598377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028762739","display_name":"S. Mahender Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":[],"is_corresponding":false,"raw_author_name":"S. Mahender Reddy","raw_affiliation_strings":["Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad"],"affiliations":[{"raw_affiliation_string":"Sreenidhi Institute of science and Technology, Ghatkesar, Hyderabad","institution_ids":["https://openalex.org/I4399598377"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045058203"],"corresponding_institution_ids":["https://openalex.org/I4399598377"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14133087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"179","issue":null,"first_page":"2432","last_page":"2436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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"}},"topics":[{"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9955999851226807,"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/T10028","display_name":"Topic Modeling","score":0.9951000213623047,"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/life-expectancy","display_name":"Life expectancy","score":0.6316819190979004},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5730709433555603},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.5613580346107483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5094674229621887},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.49093130230903625},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.48354244232177734},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.46468615531921387},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4318034052848816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4118926525115967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3659794330596924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3344438076019287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22892561554908752},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20862430334091187}],"concepts":[{"id":"https://openalex.org/C133925201","wikidata":"https://www.wikidata.org/wiki/Q188419","display_name":"Life expectancy","level":3,"score":0.6316819190979004},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5730709433555603},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5613580346107483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5094674229621887},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49093130230903625},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.48354244232177734},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.46468615531921387},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4318034052848816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4118926525115967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3659794330596924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3344438076019287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22892561554908752},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20862430334091187},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1998257453","https://openalex.org/W2014116953","https://openalex.org/W2061873838","https://openalex.org/W2075878045","https://openalex.org/W2108646579","https://openalex.org/W2110642088","https://openalex.org/W2118027802","https://openalex.org/W2127480954","https://openalex.org/W2159457224","https://openalex.org/W2166706824","https://openalex.org/W2275711495","https://openalex.org/W2285696530","https://openalex.org/W2337150356","https://openalex.org/W2507254902","https://openalex.org/W2508074026","https://openalex.org/W2951278869","https://openalex.org/W4211186029","https://openalex.org/W4231510805","https://openalex.org/W4250687526","https://openalex.org/W6639619044","https://openalex.org/W6763745640"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W2352674739"],"abstract_inverted_index":{"Technology":[0],"has":[1],"made":[2,19],"man":[3],"not":[4],"only":[5],"to":[6,20,30,61,67,83,96,165,178,186,213],"reside":[7],"as":[8,55,76,78,151,153,174],"an":[9,62,69,184],"intellectual":[10],"but":[11],"some":[12,25],"daily":[13],"activities":[14],"and":[15],"use":[16],"of":[17,26,35,71,145,158,169,176],"intoxicants":[18,86],"think":[21],"over":[22],"his":[23,79,179],"health":[24,75,93,171,181],"those":[27],"who":[28],"want":[29],"hide":[31],"their":[32],"actual":[33],"identity":[34],"consuming":[36],"drugs":[37,42],"by":[38,90,110,206],"the":[39,49,73,84,91,97,102,120,146,154,167,188,208,211],"antidote.":[40],"Consuming":[41],"is":[43,53,119,138],"now-a-days":[44],"a":[45,56,59],"major":[46,85],"issue":[47],"in":[48,65,129,190],"current":[50],"society":[51],"which":[52,87,161],"spreading":[54],"virus":[57],"from":[58],"teenager":[60],"old":[63],"person":[64],"order":[66],"make":[68],"effort":[70],"identifying":[72],"individual's":[74],"well":[77,152],"previous":[80],"habits":[81],"related":[82],"are":[88],"specified":[89],"world":[92,98],"organization":[94],"(WHO)":[95],"wide":[99],"nations":[100],"for":[101,140,182],"drug":[103],"free":[104],"future.":[105],"This":[106],"can":[107,162],"be":[108,214],"predicted":[109],"analyzing":[111],"Latent":[112],"Semantic":[113],"Dirichlet":[114],"Allocation":[115],"(LSDA)":[116],"Gibbs":[117,133],"sampling":[118,134],"popular":[121],"topic":[122],"modeling":[123],"using":[124],"numerous":[125],"applications.":[126],"We":[127],"implemented":[128],"this":[130],"paper":[131],"LDA":[132],"with":[135,202],"sentiment":[136],"analysis":[137],"used":[139],"reviewing":[141],"words.":[142],"Genome":[143],"sequence":[144,157],"ancestral":[147],"or":[148,210],"blood":[149],"relation":[150],"normal":[155,159,191],"DNA/genetic":[156],"human":[160,164],"assist":[163],"determining":[166],"level":[168],"intoxication,":[170],"prediction":[172],"such":[173],"expectancy":[175],"aiding":[177],"mental":[180],"facilitating":[183],"individual":[185],"lead":[187],"life":[189],"position.":[192],"Our":[193],"proposed":[194],"work":[195],"gives":[196],"details":[197],"about":[198],"abnormal":[199],"genetic":[200],"behavior":[201],"effecting":[203],"unwanted":[204],"problems":[205],"proving":[207],"measures":[209],"concerns":[212],"taken.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}