{"id":"https://openalex.org/W2502431503","doi":"https://doi.org/10.1145/2912845.2912862","title":"Customer Opinion Summarization Based on Twitter Conversations","display_name":"Customer Opinion Summarization Based on Twitter Conversations","publication_year":2016,"publication_date":"2016-06-02","ids":{"openalex":"https://openalex.org/W2502431503","doi":"https://doi.org/10.1145/2912845.2912862","mag":"2502431503"},"language":"en","primary_location":{"id":"doi:10.1145/2912845.2912862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2912845.2912862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics","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/A5075978117","display_name":"Rania Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rania Othman","raw_affiliation_strings":["LARODEC, ISG Tunis, University of Tunis, Bardo, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, ISG Tunis, University of Tunis, Bardo, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038314605","display_name":"Rami Belkaroui","orcid":"https://orcid.org/0000-0003-0440-7126"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rami Belkaroui","raw_affiliation_strings":["LARODEC, ISG Tunis, University of Tunis, Bardo, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, ISG Tunis, University of Tunis, Bardo, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075647751","display_name":"Rim Fa\u00efz","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Rim Faiz","raw_affiliation_strings":["LARODEC, IHEC Carthage, University of Carthage, Carthage Presidency, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, IHEC Carthage, University of Carthage, Carthage Presidency, Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8833,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84208963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9977999925613403,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9154998064041138},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.8535650372505188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8066553473472595},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7776471376419067},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6339119076728821},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5875877141952515},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5558487176895142},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.47050994634628296},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.46838170289993286},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.44057387113571167},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37079235911369324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34862762689590454},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13518312573432922},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10783916711807251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.074887216091156}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9154998064041138},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8535650372505188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8066553473472595},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7776471376419067},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6339119076728821},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5875877141952515},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5558487176895142},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.47050994634628296},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.46838170289993286},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.44057387113571167},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37079235911369324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34862762689590454},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13518312573432922},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10783916711807251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.074887216091156},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2912845.2912862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2912845.2912862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics","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":41,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W644717764","https://openalex.org/W1522716971","https://openalex.org/W1526460642","https://openalex.org/W1544133151","https://openalex.org/W1549016832","https://openalex.org/W1551889211","https://openalex.org/W1743243001","https://openalex.org/W1964613733","https://openalex.org/W2006317164","https://openalex.org/W2020060453","https://openalex.org/W2040602101","https://openalex.org/W2041831540","https://openalex.org/W2043775452","https://openalex.org/W2046804949","https://openalex.org/W2057820243","https://openalex.org/W2081580037","https://openalex.org/W2081733952","https://openalex.org/W2095487819","https://openalex.org/W2106321773","https://openalex.org/W2126581182","https://openalex.org/W2128005952","https://openalex.org/W2130424481","https://openalex.org/W2131211273","https://openalex.org/W2141631351","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2163455955","https://openalex.org/W2165379166","https://openalex.org/W2166706824","https://openalex.org/W2251128435","https://openalex.org/W2295142184","https://openalex.org/W2344431770","https://openalex.org/W2534640401","https://openalex.org/W2912108012","https://openalex.org/W3146306708","https://openalex.org/W4206714178","https://openalex.org/W6620943897","https://openalex.org/W6636805335","https://openalex.org/W6678923525","https://openalex.org/W6705041705"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W2518037665","https://openalex.org/W4242223894","https://openalex.org/W4306886878"],"abstract_inverted_index":{"As":[0,101],"Twitter":[1,71,144],"gains":[2],"popularity,":[3],"millions":[4],"of":[5,41,70,73,124,170],"messages":[6],"are":[7,103],"generated":[8],"every":[9],"day":[10],"via":[11],"this":[12,131],"platform":[13],"allowing":[14],"people":[15],"to":[16,50,53,76,105,119,158,193],"communicate":[17],"with":[18],"each":[19],"other":[20],"through":[21,87],"daily":[22],"chatter":[23],"and":[24,43,56,108],"public":[25],"conversations.":[26,100],"This":[27,45],"social":[28],"content":[29],"is":[30,72,116],"usually":[31,109],"considered":[32],"more":[33],"subjective":[34],"than":[35,96],"professional":[36],"articles":[37],"involving":[38],"a":[39,135,150],"lot":[40],"opinions":[42,63,86],"thoughts.":[44],"has":[46],"stimulated":[47],"many":[48],"companies":[49],"use":[51],"tweets":[52,94,102],"keep":[54],"track":[55],"have":[57,89,181],"general":[58],"overview":[59],"on":[60,83,143],"their":[61],"customer":[62,85,139],"about":[64],"the":[65,77,98,121,125,161,168,171,188],"brand.":[66],"The":[67],"conversational":[68],"element":[69],"particular":[74],"interest":[75],"marketing":[78],"community.":[79],"However,":[80],"most":[81],"studies":[82],"summarizing":[84],"Twitter,":[88],"so":[90],"far":[91],"employed":[92],"single":[93],"rather":[95],"considering":[97],"whole":[99],"limited":[104],"140":[106],"characters":[107],"written":[110],"in":[111,187],"an":[112],"informal":[113],"way,":[114],"it":[115],"frequently":[117],"hard":[118],"detect":[120],"exact":[122],"meaning":[123],"tweet":[126],"when":[127],"taken":[128],"separately.":[129],"In":[130,178],"paper,":[132],"we":[133,180],"propose":[134],"new":[136,151],"approach":[137],"for":[138],"opinion":[140,189],"summarization":[141,190],"based":[142],"conversations":[145],"named":[146],"COSTwiC.":[147],"We":[148],"employ":[149],"conversation-based":[152],"method":[153],"that":[154,183],"employs":[155],"conversation":[156,172,185],"interactions":[157],"effectively":[159],"extract":[160],"different":[162],"product":[163],"features":[164],"as":[165,167],"well":[166],"polarity":[169],"messages.":[173],"Experimentations":[174],"show":[175],"promising":[176],"results.":[177],"particular,":[179],"proved":[182],"incorporating":[184],"structure":[186],"task":[191],"contributes":[192],"improving":[194],"system":[195],"performance.":[196]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}