{"id":"https://openalex.org/W2752257214","doi":"https://doi.org/10.18653/v1/s17-2133","title":"NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis","display_name":"NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2752257214","doi":"https://doi.org/10.18653/v1/s17-2133","mag":"2752257214"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s17-2133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2133","pdf_url":"https://www.aclweb.org/anthology/S17-2133.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S17-2133.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086805519","display_name":"Samhaa R. El-Beltagy","orcid":"https://orcid.org/0000-0002-5769-8054"},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Samhaa R. El-Beltagy","raw_affiliation_strings":["Center for Informatics Sciences Nile University, Juhayna Square, Sheikh Zayed City, Giza, Egypt","Nile University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Center for Informatics Sciences Nile University, Juhayna Square, Sheikh Zayed City, Giza, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Nile University, Cairo, Egypt","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061260713","display_name":"Mona El Kalamawy","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mona El kalamawy","raw_affiliation_strings":["Faculty of Computers and Information, Cairo University, Ahmed Zewail St, Giza, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Information, Cairo University, Ahmed Zewail St, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035429972","display_name":"Abu Bakr Soliman","orcid":null},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abu Bakr Soliman","raw_affiliation_strings":["Center for Informatics Sciences Nile University, Juhayna Square, Sheikh Zayed City, Giza, Egypt","Nile University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Center for Informatics Sciences Nile University, Juhayna Square, Sheikh Zayed City, Giza, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Nile University, Cairo, Egypt","institution_ids":["https://openalex.org/I57629906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086805519"],"corresponding_institution_ids":["https://openalex.org/I57629906"],"apc_list":null,"apc_paid":null,"fwci":1.37507783,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84319164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"790","last_page":"795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9932000041007996,"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":0.9843999743461609,"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/semeval","display_name":"SemEval","score":0.910273551940918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.825630784034729},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7550553679466248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7336100935935974},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6053259372711182},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6021401882171631},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5756630301475525},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5712369084358215},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5206103324890137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42242950201034546},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.418199360370636},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4131929278373718},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07766324281692505}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.910273551940918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.825630784034729},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7550553679466248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7336100935935974},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6053259372711182},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6021401882171631},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5756630301475525},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5712369084358215},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5206103324890137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42242950201034546},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.418199360370636},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4131929278373718},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07766324281692505},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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":6,"locations":[{"id":"doi:10.18653/v1/s17-2133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2133","pdf_url":"https://www.aclweb.org/anthology/S17-2133.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1710.08458","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.08458","pdf_url":"https://arxiv.org/pdf/1710.08458","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2752257214","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1710.08458","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1710.08458","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1710.08458","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.60692/dctbx-vmd59","is_oa":true,"landing_page_url":"https://doi.org/10.60692/dctbx-vmd59","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.60692/qqwe0-47a56","is_oa":true,"landing_page_url":"https://doi.org/10.60692/qqwe0-47a56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051682","display_name":"Greater South Information System","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/s17-2133","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s17-2133","pdf_url":"https://www.aclweb.org/anthology/S17-2133.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Workshop on Semantic Evaluation\n          (SemEval-2017)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2752257214.pdf","grobid_xml":"https://content.openalex.org/works/W2752257214.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1942304675","https://openalex.org/W2057854333","https://openalex.org/W2544650307","https://openalex.org/W2575929989","https://openalex.org/W2892061765","https://openalex.org/W3172838183","https://openalex.org/W6691617650","https://openalex.org/W6764315019","https://openalex.org/W6818006502","https://openalex.org/W6843379368"],"related_works":["https://openalex.org/W2964323432","https://openalex.org/W2471270217","https://openalex.org/W2752643126","https://openalex.org/W2115718228","https://openalex.org/W2753112478","https://openalex.org/W2105339080","https://openalex.org/W2954980408","https://openalex.org/W2111784011","https://openalex.org/W2251938308","https://openalex.org/W2126743576","https://openalex.org/W2751846407","https://openalex.org/W3117220460","https://openalex.org/W2750618026","https://openalex.org/W2462365838","https://openalex.org/W2470410884","https://openalex.org/W2250450233","https://openalex.org/W2148534590","https://openalex.org/W3118231515","https://openalex.org/W2805535038","https://openalex.org/W2752959970"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"two":[3],"systems":[4],"that":[5,107],"were":[6],"used":[7,70,121],"by":[8],"the":[9,99,109,113,117,124,135,150],"NileTMRG":[10,22,148],"for":[11,84,137],"addressing":[12],"Arabic":[13,26,143],"Sentiment":[14],"Analysis":[15],"as":[16,112],"part":[17],"of":[18,52,73,94],"SemEval-2017,":[19],"task":[20,129,138],"4.":[21],"participated":[23],"in":[24,146],"three":[25,74,118,142],"related":[27,144],"subtasks":[28,65],"which":[29,58,85,147],"are:":[30],"Subtask":[31,36,43],"A":[32],"(Message":[33],"Polarity":[34,40],"Classification),":[35],"B":[37,66],"(Topic-Based":[38],"Message":[39],"classification)":[41],"and":[42,67],"D":[44],"(Tweet":[45],"quantification).For":[46],"subtask":[47],"A,":[48],"we":[49,59,69,86],"made":[50],"use":[51],"our":[53],"previously":[54],"developed":[55],"sentiment":[56],"analyzer":[57],"augmented":[60],"with":[61],"a":[62,80,95,103],"scored":[63],"lexicon.For":[64],"D,":[68],"an":[71],"ensemble":[72],"different":[75],"classifiers.The":[76],"first":[77],"classifier":[78,92,101],"was":[79,102,120,131],"convolutional":[81],"neural":[82],"network":[83],"trained":[87],"(word2vec)":[88],"word":[89],"embeddings.The":[90],"second":[91,114],"consisted":[93],"MultiLayer":[96],"Perceptron":[97],"while":[98],"third":[100],"Logistic":[104],"regression":[105],"model":[106],"takes":[108],"same":[110],"input":[111],"classifier.Voting":[115],"between":[116],"classifiers":[119],"to":[122,133],"determine":[123],"final":[125],"outcome.The":[126],"output":[127],"from":[128],"B,":[130],"quantified":[132],"produce":[134],"results":[136],"D.":[139],"In":[140],"all":[141],"tasks":[145],"participated,":[149],"team":[151],"ranked":[152],"at":[153],"number":[154],"one.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}