{"id":"https://openalex.org/W3213622215","doi":"https://doi.org/10.1109/icccnt51525.2021.9579699","title":"Social Media Intelligence for Brand Analysis","display_name":"Social Media Intelligence for Brand Analysis","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3213622215","doi":"https://doi.org/10.1109/icccnt51525.2021.9579699","mag":"3213622215"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579699","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/A5061553698","display_name":"Parth Nagarkar","orcid":"https://orcid.org/0000-0001-6284-9251"},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Parth Nagarkar","raw_affiliation_strings":["Thadomal Shahani Engineering College, Mumbai University, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thadomal Shahani Engineering College, Mumbai University, Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083008923","display_name":"Lavin Amarnani","orcid":null},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lavin Amarnani","raw_affiliation_strings":["Thadomal Shahani Engineering College, Mumbai University, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thadomal Shahani Engineering College, Mumbai University, Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089683488","display_name":"Dharmik Doshi","orcid":null},"institutions":[{"id":"https://openalex.org/I169877490","display_name":"University of Mumbai","ror":"https://ror.org/032hdk172","country_code":"IN","type":"education","lineage":["https://openalex.org/I169877490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dharmik Doshi","raw_affiliation_strings":["Thadomal Shahani Engineering College, Mumbai University, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Thadomal Shahani Engineering College, Mumbai University, Mumbai, India","institution_ids":["https://openalex.org/I169877490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061553698"],"corresponding_institution_ids":["https://openalex.org/I169877490"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69676499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9936000108718872,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9925000071525574,"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/social-media","display_name":"Social media","score":0.7759568095207214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978411674499512},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5967133641242981},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5569780468940735},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5526899099349976},{"id":"https://openalex.org/keywords/social-media-optimization","display_name":"Social media optimization","score":0.5048976540565491},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5044656991958618},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4483930170536041},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.41253408789634705},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38056761026382446},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.33733975887298584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15598267316818237},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.14747074246406555}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7759568095207214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978411674499512},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5967133641242981},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5569780468940735},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5526899099349976},{"id":"https://openalex.org/C60136833","wikidata":"https://www.wikidata.org/wiki/Q1071262","display_name":"Social media optimization","level":3,"score":0.5048976540565491},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5044656991958618},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4483930170536041},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.41253408789634705},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38056761026382446},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.33733975887298584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15598267316818237},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14747074246406555},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579699","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2010133698","https://openalex.org/W2031998113","https://openalex.org/W2068372750","https://openalex.org/W2070539194","https://openalex.org/W2092577289","https://openalex.org/W2156413587","https://openalex.org/W2218244741","https://openalex.org/W2583502657","https://openalex.org/W2606236711","https://openalex.org/W2735103703","https://openalex.org/W2766399727","https://openalex.org/W2945582858","https://openalex.org/W3012470696"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3168708644","https://openalex.org/W2911821382","https://openalex.org/W2145046951","https://openalex.org/W2782951098","https://openalex.org/W650499933","https://openalex.org/W2943754119","https://openalex.org/W2989432184","https://openalex.org/W2410701467","https://openalex.org/W3035696098"],"abstract_inverted_index":{"With":[0],"the":[1,7,16,33,53,81,95,103,112,118,130,150,155,162,184,188,211,219,223,226,237,248],"rise":[2],"of":[3,9,52,172,228],"social":[4,17,82,163],"media":[5,18,23,83,164],"users,":[6],"amount":[8],"data":[10,152,192,224],"being":[11],"generated":[12],"every":[13],"day":[14],"from":[15,117,132,149,247],"websites":[19],"is":[20],"increasing.":[21],"Social":[22],"web":[24],"sites":[25],"like":[26,67],"Instagram,":[27],"Twitter,":[28],"Snapchat,":[29],"etc.":[30,71],"are":[31,57,115,161,177],"allowing":[32],"users":[34],"to":[35,64,88,105,123,128,135,146,157,186,199,208,240],"express":[36],"their":[37,44],"opinions":[38],"on":[39,111,179,214,231],"any":[40,50],"subject":[41],"and":[42,86,139,181,206,221,243],"share":[43],"opinion":[45,85],"with":[46],"people":[47],"sitting":[48],"in":[49,100,142,144,197,218,225],"corner":[51],"world.":[54],"Numerous":[55],"posts":[56],"also":[58],"posted":[59],"about":[60,80,167],"various":[61],"brands":[62,104,156],"belonging":[63],"multiple":[65,173],"domains":[66],"technology,":[68],"sports,":[69],"fashion,":[70],"These":[72,97],"posts,":[73],"when":[74],"analysed,":[75],"can":[76,99],"provide":[77,124],"valuable":[78],"insights":[79,98,113,148,242],"users'":[84,165],"prove":[87],"be":[89],"an":[90],"untapped":[91],"gold":[92],"mine":[93],"for":[94],"brands.":[96],"turn":[101],"help":[102],"make":[106],"better":[107],"business":[108],"decisions":[109],"based":[110,213],"that":[114,153],"extracted":[116],"posts.":[119],"This":[120,169],"paper":[121,220],"aims":[122],"a":[125,136,232],"real-time":[126,143],"solution":[127,170],"stream":[129],"tweets":[131],"Twitter":[133],"related":[134],"specific":[137],"brand":[138],"analyse":[140],"them":[141],"order":[145,198],"extract":[147,200],"tweet":[151,191],"allows":[154],"know":[158],"what":[159],"exactly":[160],"perceptions":[166],"them.":[168],"consists":[171],"stages":[174],"where":[175],"scripts":[176],"deployed":[178],"servers":[180],"run":[182],"around":[183],"clock":[185],"process":[187],"raw":[189],"streamed":[190],"using":[193],"artificial":[194],"intelligence":[195],"techniques":[196],"location,":[201],"sentiments,":[202],"named":[203],"entities,":[204],"date":[205],"time":[207],"further":[209],"categorise":[210],"information":[212],"numerous":[215],"factors":[216],"mentioned":[217],"present":[222],"form":[227],"charts":[229],"displayed":[230],"webpage":[233],"which":[234],"will":[235],"enable":[236],"end":[238],"user":[239],"gain":[241],"uncover":[244],"hidden":[245],"patterns":[246],"data.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}