{"id":"https://openalex.org/W3131093357","doi":"https://doi.org/10.13053/cys-25-1-3472","title":"Deep Learning for Sentiment Analysis of Tunisian Dialect","display_name":"Deep Learning for Sentiment Analysis of Tunisian Dialect","publication_year":2021,"publication_date":"2021-02-15","ids":{"openalex":"https://openalex.org/W3131093357","doi":"https://doi.org/10.13053/cys-25-1-3472","mag":"3131093357"},"language":"es","primary_location":{"id":"doi:10.13053/cys-25-1-3472","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-25-1-3472","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-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/A5103283837","display_name":"Abir Masmoudi","orcid":"https://orcid.org/0000-0002-7450-360X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abir Masmoudi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046021840","display_name":"Jamila Hamdi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jamila Hamdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001984598","display_name":"Lamia Hadrich Belguith","orcid":"https://orcid.org/0000-0002-4868-657X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lamia Hadrich Belguith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7743,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86928899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"1","first_page":null,"last_page":null},"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":0.9851999878883362,"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":0.9675999879837036,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7930103540420532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7777799367904663},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.752309262752533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7386803030967712},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6945637464523315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6385174989700317},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.629938006401062},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6031724214553833},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.582186222076416},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.48438555002212524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4536352753639221}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7930103540420532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777799367904663},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.752309262752533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7386803030967712},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6945637464523315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6385174989700317},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.629938006401062},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6031724214553833},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.582186222076416},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.48438555002212524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4536352753639221},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-25-1-3472","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-25-1-3472","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W147952312","https://openalex.org/W304145884","https://openalex.org/W758155932","https://openalex.org/W1515087027","https://openalex.org/W1551301124","https://openalex.org/W2104463314","https://openalex.org/W2250594687","https://openalex.org/W2339652305","https://openalex.org/W2783821110","https://openalex.org/W2805974756","https://openalex.org/W2884187103","https://openalex.org/W2901396884","https://openalex.org/W3122888209"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Automatic":[0],"sentiment":[1,28],"analysis":[2,29],"has":[3],"become":[4],"one":[5],"of":[6,43,78,98,112,126,146],"the":[7,13,24,37,41,94,110,134,144],"fastest":[8],"growing":[9],"research":[10],"areas":[11],"in":[12,40,50],"Natural":[14],"Language":[15],"Processing":[16],"(NLP)":[17],"field.":[18],"Despite":[19],"its":[20],"importance,":[21],"this":[22,51,84,105,129],"is":[23],"first":[25],"work":[26],"towards":[27],"at":[30],"both":[31],"aspect":[32],"and":[33,66,72,122,148],"sentence":[34],"levels":[35],"for":[36],"Tunisian":[38,44,99],"Dialect":[39],"field":[42],"supermarkets.":[45,100],"Therefore,":[46],"we":[47,86,131],"experimentally":[48],"evaluate,":[49],"paper,":[52],"three":[53],"deep":[54],"learning":[55],"methods,":[56],"namely":[57],"convolution":[58],"neural":[59,150],"networks":[60],"(CNN),":[61],"long":[62],"short-term":[63],"memory":[64],"(LSTM),":[65],"bi-directional":[67],"long-short-term-memory":[68],"(Bi-LSTM).":[69],"Both":[70],"LSTM":[71],"Bi-LSTM":[73,149],"constitute":[74],"two":[75],"major":[76],"types":[77],"Recurrent":[79],"Neural":[80],"Networks":[81],"(RNN).":[82],"Towards":[83],"end,":[85],"gathered":[87,135],"a":[88],"corpus":[89,106],"containing":[90],"comments":[91],"posted":[92],"on":[93,109],"official":[95],"Facebook":[96],"pages":[97],"To":[101],"conduct":[102],"our":[103],"experiments,":[104],"was":[107],"annotated":[108],"basis":[111],"five":[113],"criteria":[114],"(very":[115],"positive/":[116,117],"neutral/":[118],"negative/":[119],"very":[120,140],"negative)":[121],"other":[123],"twenty":[124],"categories":[125],"aspects.":[127],"In":[128],"evaluation,":[130],"show":[132],"that":[133],"features":[136],"can":[137],"lead":[138],"to":[139],"encouraging":[141],"performances":[142],"through":[143],"use":[145],"CNN":[147],"networks.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}