{"id":"https://openalex.org/W2798532587","doi":"https://doi.org/10.1145/3177148.3180102","title":"Opinion Target Extraction from Arabic News Articles Using shallow Features","display_name":"Opinion Target Extraction from Arabic News Articles Using shallow Features","publication_year":2018,"publication_date":"2018-03-27","ids":{"openalex":"https://openalex.org/W2798532587","doi":"https://doi.org/10.1145/3177148.3180102","mag":"2798532587"},"language":"en","primary_location":{"id":"doi:10.1145/3177148.3180102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3177148.3180102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence","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/A5004066488","display_name":"Imen Touati","orcid":"https://orcid.org/0000-0003-3470-3444"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Imen Touati","raw_affiliation_strings":["MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025409731","display_name":"Marwa Graja","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Marwa Graja","raw_affiliation_strings":["MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG) University of Sfax, Tunisia, College of computer and information sciences, ALJouf University, KSA"],"affiliations":[{"raw_affiliation_string":"MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG) University of Sfax, Tunisia, College of computer and information sciences, ALJouf University, KSA","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031628096","display_name":"Mariem Ellouze","orcid":"https://orcid.org/0009-0008-7845-6434"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mariem Ellouze","raw_affiliation_strings":["MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001984598","display_name":"Lamia Hadrich Belguith","orcid":"https://orcid.org/0000-0002-4868-657X"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lamia Hadrich Belguith","raw_affiliation_strings":["MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"MIRACL Laboratory, Arabic Natural Language Processing Research Group (ANLP-RG), University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004066488"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03626372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"118"},"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":0.9987999796867371,"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":0.9966999888420105,"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/conditional-random-field","display_name":"Conditional random field","score":0.9162893295288086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8287166953086853},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.758618175983429},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7488630414009094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6824317574501038},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.632530927658081},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.6166984438896179},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5954766869544983},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5370252728462219},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5070080757141113},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4760429859161377},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4595881700515747},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4573696255683899},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44127514958381653},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19526433944702148}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9162893295288086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287166953086853},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.758618175983429},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7488630414009094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824317574501038},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.632530927658081},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.6166984438896179},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5954766869544983},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5370252728462219},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5070080757141113},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4760429859161377},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4595881700515747},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4573696255683899},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44127514958381653},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19526433944702148},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3177148.3180102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3177148.3180102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W205145189","https://openalex.org/W1026216613","https://openalex.org/W1517771839","https://openalex.org/W1524636165","https://openalex.org/W1540934181","https://openalex.org/W1581485226","https://openalex.org/W1698552978","https://openalex.org/W1932345741","https://openalex.org/W1967012975","https://openalex.org/W1981256868","https://openalex.org/W2011450768","https://openalex.org/W2014902591","https://openalex.org/W2067533161","https://openalex.org/W2081375810","https://openalex.org/W2096574891","https://openalex.org/W2097726431","https://openalex.org/W2103483064","https://openalex.org/W2112744748","https://openalex.org/W2115834228","https://openalex.org/W2120540086","https://openalex.org/W2126854223","https://openalex.org/W2131138871","https://openalex.org/W2137207778","https://openalex.org/W2147880316","https://openalex.org/W2155120841","https://openalex.org/W2157526690","https://openalex.org/W2159457224","https://openalex.org/W2166706824","https://openalex.org/W2167049905","https://openalex.org/W2176820767","https://openalex.org/W2183072439","https://openalex.org/W2185254593","https://openalex.org/W2239389665","https://openalex.org/W2250979019","https://openalex.org/W2251426992","https://openalex.org/W2251637041","https://openalex.org/W2277363854","https://openalex.org/W2345493290","https://openalex.org/W2398070238","https://openalex.org/W2404602200","https://openalex.org/W2463809169","https://openalex.org/W2466468039","https://openalex.org/W2583789764","https://openalex.org/W2618735189","https://openalex.org/W2930957955","https://openalex.org/W3099316555","https://openalex.org/W4205184193","https://openalex.org/W4241982274","https://openalex.org/W6686488193"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2356597680","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2093471820","https://openalex.org/W2163278254","https://openalex.org/W155708904","https://openalex.org/W1574213390"],"abstract_inverted_index":{"Target":[0],"identification":[1,44],"is":[2,76],"one":[3],"of":[4,26,29,41,72,102],"the":[5,27,39,66,70],"important":[6],"tasks":[7],"related":[8],"to":[9,37],"opinion":[10,42,118,126],"mining.":[11],"Indeed,":[12],"there":[13,75],"are":[14],"few":[15],"works":[16],"in":[17,62,81,132],"this":[18,33,82],"field":[19,83],"that":[20,94],"deals":[21],"with":[22,100,120],"Arabic":[23,46,85],"Language":[24],"because":[25],"lack":[28],"annotated":[30],"corpora.":[31],"In":[32],"paper,":[34],"we":[35,95],"propose":[36],"investigate":[38],"problem":[40],"target":[43,58,67,119],"from":[45],"news":[47,90],"articles":[48],"using":[49,128],"Conditional":[50],"Random":[51],"Fields":[52],"(CRF)":[53],"as":[54],"discriminative":[55],"framework.":[56],"Opinion":[57],"recognition":[59],"task":[60],"consists":[61],"determining":[63],"terms":[64],"forming":[65],"span.":[68],"To":[69],"best":[71],"our":[73],"knowledge,":[74],"no":[77],"similar":[78],"work":[79],"done":[80],"for":[84,89,123],"language":[86],"and":[87,107,134],"especially":[88],"articles.":[91],"Experiments":[92],"show":[93],"can":[96],"perform":[97],"excellent":[98],"results":[99],"consideration":[101],"semantic":[103],"correlation":[104],"between":[105],"words":[106,131],"without":[108],"relying":[109],"on":[110],"deep":[111],"syntactic":[112],"features.":[113,136],"Our":[114],"proposed":[115],"method":[116],"identifies":[117],"95%":[121],"F-measure,":[122],"a":[124],"given":[125],"word":[127],"bi-gram":[129],"feature,":[130],"context":[133],"other":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
