{"id":"https://openalex.org/W2040602101","doi":"https://doi.org/10.1145/2479787.2479813","title":"Customer review summarization approach using Twitter and SentiWordNet","display_name":"Customer review summarization approach using Twitter and SentiWordNet","publication_year":2013,"publication_date":"2013-06-11","ids":{"openalex":"https://openalex.org/W2040602101","doi":"https://doi.org/10.1145/2479787.2479813","mag":"2040602101"},"language":"en","primary_location":{"id":"doi:10.1145/2479787.2479813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2479787.2479813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd 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/A5035873619","display_name":"Jihene Jmal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099641","display_name":"Higher Institute of Food Industries of Tunis","ror":"https://ror.org/011bq0640","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210099641"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jihene Jmal","raw_affiliation_strings":["LARODEC, Higher Institute of Management, Le Bardo, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, Higher Institute of Management, Le Bardo, Tunisia","institution_ids":["https://openalex.org/I4210099641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075647751","display_name":"Rim Fa\u00efz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rim Faiz","raw_affiliation_strings":["LARODEC, IHEC de Carthage, Carthage, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, IHEC de Carthage, Carthage, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4589,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.9273038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.993399977684021,"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":0.9371297359466553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674154043197632},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6206860542297363},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6005512475967407},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5503626465797424},{"id":"https://openalex.org/keywords/customer-satisfaction","display_name":"Customer satisfaction","score":0.5384639501571655},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5272544622421265},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4653084874153137},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4475098252296448},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4219409227371216},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42121559381484985},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.42023593187332153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41602930426597595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2149064838886261},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16324862837791443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09474170207977295},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08362552523612976},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06452542543411255}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9371297359466553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674154043197632},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6206860542297363},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6005512475967407},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5503626465797424},{"id":"https://openalex.org/C191511416","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"Customer satisfaction","level":2,"score":0.5384639501571655},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5272544622421265},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4653084874153137},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4475098252296448},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4219409227371216},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42121559381484985},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.42023593187332153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41602930426597595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2149064838886261},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16324862837791443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09474170207977295},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08362552523612976},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06452542543411255},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2479787.2479813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2479787.2479813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W145806832","https://openalex.org/W193524605","https://openalex.org/W1528321674","https://openalex.org/W1549016832","https://openalex.org/W1565863475","https://openalex.org/W1566018662","https://openalex.org/W1567365482","https://openalex.org/W1573641422","https://openalex.org/W1574454071","https://openalex.org/W1951269370","https://openalex.org/W1964613733","https://openalex.org/W1966475819","https://openalex.org/W1996235486","https://openalex.org/W2022204871","https://openalex.org/W2037841122","https://openalex.org/W2081375810","https://openalex.org/W2081580037","https://openalex.org/W2086277751","https://openalex.org/W2098136027","https://openalex.org/W2102134623","https://openalex.org/W2108674155","https://openalex.org/W2112422413","https://openalex.org/W2141631351","https://openalex.org/W2141790691","https://openalex.org/W2142120379","https://openalex.org/W2144378002","https://openalex.org/W2149340438","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2163114435","https://openalex.org/W2163302275","https://openalex.org/W2163455955","https://openalex.org/W2165379166","https://openalex.org/W2166706824","https://openalex.org/W2199803028","https://openalex.org/W2519011775","https://openalex.org/W2787893582","https://openalex.org/W3146306708","https://openalex.org/W3147292827","https://openalex.org/W6631561017","https://openalex.org/W6633918527"],"related_works":["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/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"Since":[0],"E-commerce":[1],"is":[2],"becoming":[3],"more":[4,6],"and":[5,22,35,78,86,88,95,110],"popular,":[7],"the":[8,17,38,40,48,64,71],"number":[9],"of":[10,33,56],"customer":[11,39,65,72],"reviews":[12,34,66],"raises":[13],"rapidly.":[14],"Opinions":[15],"on":[16],"Web":[18],"affect":[19],"our":[20,124],"choices":[21],"decisions.":[23],"Thus,":[24],"it":[25],"becomes":[26],"necessary":[27],"to":[28,37,62,113,128],"automatically":[29],"process":[30],"a":[31,53,75],"mixture":[32],"prepare":[36],"required":[41],"information":[42],"in":[43,99],"an":[44],"appropriate":[45],"form.":[46],"In":[47],"same":[49],"context,":[50],"we":[51],"present":[52],"new":[54],"approach":[55],"feature-based":[57,130],"opinion":[58],"summarization":[59,131],"which":[60,116],"aims":[61],"turn":[63],"into":[67],"scores":[68,82],"that":[69,123],"measure":[70],"satisfaction":[73],"for":[74,92],"given":[76],"product":[77],"its":[79],"features.":[80],"These":[81],"are":[83],"between":[84],"0":[85],"1":[87],"can":[89],"be":[90],"used":[91],"decision":[93],"making":[94],"then":[96],"help":[97],"users":[98],"their":[100],"choices.":[101],"We":[102],"investigated":[103],"opinions":[104],"extracted":[105],"from":[106],"nouns,":[107],"adjectives,":[108],"verbs":[109],"adverbs":[111],"contrary":[112],"previous":[114],"researches":[115],"use":[117],"essentially":[118],"adjectives.":[119],"Experimental":[120],"results":[121],"show":[122],"method":[125],"performs":[126],"comparably":[127],"classic":[129],"methods.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}