{"id":"https://openalex.org/W2520116720","doi":"https://doi.org/10.1109/wispnet.2016.7566476","title":"A review on social audience identification on twitter using text mining methods","display_name":"A review on social audience identification on twitter using text mining methods","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2520116720","doi":"https://doi.org/10.1109/wispnet.2016.7566476","mag":"2520116720"},"language":"en","primary_location":{"id":"doi:10.1109/wispnet.2016.7566476","doi":"https://doi.org/10.1109/wispnet.2016.7566476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wispnet.2016.7566476","pdf_url":null,"source":{"id":"https://openalex.org/S7407086507","display_name":"International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5063760986","display_name":"Priyanka B Dastanwala","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I140352217","display_name":"Uka Tarsadia University","ror":"https://ror.org/059xgrv47","country_code":"IN","type":"education","lineage":["https://openalex.org/I140352217"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka B Dastanwala","raw_affiliation_strings":["Dept. of Computer Engineering, Uka Tarsadia University, Bardoli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Uka Tarsadia University, Bardoli, India","institution_ids":["https://openalex.org/I140352217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103083175","display_name":"Vibha D. Patel","orcid":"https://orcid.org/0000-0002-0260-1809","observed_orcids":["https://orcid.org/0000-0002-0260-1809"]},"institutions":[{"id":"https://openalex.org/I140352217","display_name":"Uka Tarsadia University","ror":"https://ror.org/059xgrv47","country_code":"IN","type":"education","lineage":["https://openalex.org/I140352217"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vibha Patel","raw_affiliation_strings":["Dept. of Computer Engineering, Uka Tarsadia University, Bardoli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering, Uka Tarsadia University, Bardoli, India","institution_ids":["https://openalex.org/I140352217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140352217"],"apc_list":null,"apc_paid":null,"fwci":3.6,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.90889371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1917","last_page":"1920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.5249000191688538,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.5249000191688538,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14435","display_name":"Information Retrieval and Data Mining","score":0.1266999989748001,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.09109999984502792,"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/twitter","display_name":"Twitter","score":0.8820000290870667},{"id":"https://openalex.org/keywords/text-mining","display_name":"text mining","score":0.8059999942779541},{"id":"https://openalex.org/keywords/social-media-marketing","display_name":"social media marketing","score":0.6079999804496765},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.6470000147819519},{"id":"https://openalex.org/keywords/information-overload","display_name":"information overload","score":0.6370000243186951},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"user-generated content","score":0.7509999871253967}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7562173008918762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523542642593384},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6646820306777954},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6126390099525452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5881845355033875},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.54915851354599},{"id":"https://openalex.org/C197046077","wikidata":"https://www.wikidata.org/wiki/Q785337","display_name":"Web mining","level":3,"score":0.5003468990325928},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4960716664791107},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4550905227661133},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4468576908111572},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.31604576110839844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2676277756690979},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wispnet.2016.7566476","doi":"https://doi.org/10.1109/wispnet.2016.7566476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wispnet.2016.7566476","pdf_url":null,"source":{"id":"https://openalex.org/S7407086507","display_name":"International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W115528473","https://openalex.org/W159937948","https://openalex.org/W423231990","https://openalex.org/W1880262756","https://openalex.org/W1983719983","https://openalex.org/W2023901763","https://openalex.org/W2038889057","https://openalex.org/W2061065224","https://openalex.org/W2153582629","https://openalex.org/W2168332560","https://openalex.org/W2170116098","https://openalex.org/W2187294869","https://openalex.org/W2994602700","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W159937948","https://openalex.org/W2170116098","https://openalex.org/W2289844739","https://openalex.org/W4393643633","https://openalex.org/W3194394777","https://openalex.org/W2557697338","https://openalex.org/W7098485219","https://openalex.org/W2584257019","https://openalex.org/W7002367815","https://openalex.org/W2239774921"],"abstract_inverted_index":{"Data":[0],"mining":[1,37,45,115],"is":[2,20,38,63,82,108],"a":[3,83,103,147],"technique":[4],"of":[5,51,105,138,149],"extracting":[6],"hidden":[7],"predictive":[8],"information":[9,15,53,70,94],"from":[10,17,54,79],"large":[11,80],"databases.":[12],"The":[13],"important":[14,40],"discovery":[16],"the":[18,49,136,139,156,168,180],"data":[19],"more":[21,162,179],"needed":[22],"in":[23,41,86,102],"many":[24,90,113],"areas":[25],"like":[26],"industries,":[27],"education,":[28],"web":[29],"mining,":[30,32],"text":[31,36,114],"etc.":[33],"Among":[34],"this":[35,133],"very":[39,109],"social":[42,57,87,97,106,151],"media.":[43],"Text":[44],"also":[46],"referred":[47],"as":[48,61],"process":[50],"deriving":[52],"text.":[55],"A":[56],"media":[58,88,107],"platform":[59],"such":[60],"Twitter":[62,122],"main":[64],"stream":[65],"which":[66,171],"provides":[67],"valuable":[68],"user-generated":[69],"by":[71,164],"publishing":[72],"and":[73,111,125,145,178],"sharing":[74],"contents.":[75],"Identifying":[76],"interesting":[77],"contents":[78],"text-streams":[81],"crucial":[84],"issue":[85],"because":[89],"users":[91],"struggle":[92],"with":[93],"overload.":[95],"Analyzing":[96],"audience":[98,152,170],"who":[99],"are":[100,129],"interested":[101],"company":[104],"difficult":[110],"so":[112],"methods":[116],"e.g.":[117],"fuzzy":[118],"keyword":[119],"match":[120],"method,":[121],"LDA":[123],"method":[124],"Machine":[126],"learning":[127],"approaches":[128],"used":[130],"for":[131],"solving":[132],"problem.":[134],"Using":[135],"tweets":[137],"account":[140,157],"owner":[141,158],"to":[142,159,167,174],"segment":[143],"followers":[144],"describing":[146],"group":[148],"high-value":[150],"members":[153],"will":[154,172],"assist":[155],"spend":[160],"resources":[161],"effectively":[163],"sending":[165],"offers":[166],"appropriate":[169],"lead":[173],"maximal":[175],"marketing":[176],"performance":[177],"return":[181],"on":[182],"contribution.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-09-23T00:00:00"}
