{"id":"https://openalex.org/W3194860740","doi":"https://doi.org/10.3390/info12080331","title":"A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media","display_name":"A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media","publication_year":2021,"publication_date":"2021-08-18","ids":{"openalex":"https://openalex.org/W3194860740","doi":"https://doi.org/10.3390/info12080331","mag":"3194860740"},"language":"en","primary_location":{"id":"doi:10.3390/info12080331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12080331","pdf_url":"https://www.mdpi.com/2078-2489/12/8/331/pdf","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/12/8/331/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036405671","display_name":"Georgios Alexandridis","orcid":"https://orcid.org/0000-0002-3611-8292"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]},{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Georgios Alexandridis","raw_affiliation_strings":["Department of Cultural Technology and Communication, University of the Aegean, 81100 Mitilini, Greece","Department of Informatics and Telematics, Harokopio University of Athens, 17671 Kallithea, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Cultural Technology and Communication, University of the Aegean, 81100 Mitilini, Greece","institution_ids":["https://openalex.org/I98805295"]},{"raw_affiliation_string":"Department of Informatics and Telematics, Harokopio University of Athens, 17671 Kallithea, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056484904","display_name":"Iraklis Varlamis","orcid":"https://orcid.org/0000-0002-0876-8167"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iraklis Varlamis","raw_affiliation_strings":["Department of Informatics and Telematics, Harokopio University of Athens, 17671 Kallithea, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telematics, Harokopio University of Athens, 17671 Kallithea, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107599459","display_name":"Konstantinos Korovesis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konstantinos Korovesis","raw_affiliation_strings":["Palo Services Ltd., 10562 Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Palo Services Ltd., 10562 Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091524866","display_name":"George Caridakis","orcid":"https://orcid.org/0000-0001-9884-935X"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Caridakis","raw_affiliation_strings":["Department of Cultural Technology and Communication, University of the Aegean, 81100 Mitilini, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Cultural Technology and Communication, University of the Aegean, 81100 Mitilini, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010074074","display_name":"Panagiotis Tsantilas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panagiotis Tsantilas","raw_affiliation_strings":["Palo Services Ltd., 10562 Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Palo Services Ltd., 10562 Athens, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036405671"],"corresponding_institution_ids":["https://openalex.org/I32762134","https://openalex.org/I98805295"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":5.4595,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.964479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"8","first_page":"331","last_page":"331"},"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/T10028","display_name":"Topic Modeling","score":0.9986000061035156,"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":0.9972000122070312,"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":0.8117492198944092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7855785489082336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6862238645553589},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6819394826889038},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6423001289367676},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.608652651309967},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5285685658454895},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5136277079582214},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4954129457473755},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4856497049331665},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.47832179069519043},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4630330801010132},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41813230514526367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3590269684791565},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16707661747932434}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8117492198944092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855785489082336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6862238645553589},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6819394826889038},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6423001289367676},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.608652651309967},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5285685658454895},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5136277079582214},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4954129457473755},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4856497049331665},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.47832179069519043},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4630330801010132},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41813230514526367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3590269684791565},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16707661747932434},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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":3,"locations":[{"id":"doi:10.3390/info12080331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12080331","pdf_url":"https://www.mdpi.com/2078-2489/12/8/331/pdf","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f4804e2b1ce84c24947f97e88cc41af9","is_oa":true,"landing_page_url":"https://doaj.org/article/f4804e2b1ce84c24947f97e88cc41af9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 12, Iss 8, p 331 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/12/8/331/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info12080331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 12; Issue 8; Pages: 331","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info12080331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info12080331","pdf_url":"https://www.mdpi.com/2078-2489/12/8/331/pdf","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G3875748329","display_name":null,"funder_award_id":"European Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6660225447","display_name":null,"funder_award_id":"co-financed","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8538941428","display_name":null,"funder_award_id":"Regional Development Fund","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194860740.pdf","grobid_xml":"https://content.openalex.org/works/W3194860740.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W20920509","https://openalex.org/W34584312","https://openalex.org/W195302895","https://openalex.org/W1256013790","https://openalex.org/W1988917863","https://openalex.org/W2077259488","https://openalex.org/W2087831325","https://openalex.org/W2104514557","https://openalex.org/W2107743791","https://openalex.org/W2113459411","https://openalex.org/W2131829632","https://openalex.org/W2165612380","https://openalex.org/W2220660951","https://openalex.org/W2230130365","https://openalex.org/W2250879510","https://openalex.org/W2252153787","https://openalex.org/W2416353094","https://openalex.org/W2499094367","https://openalex.org/W2536583325","https://openalex.org/W2564208526","https://openalex.org/W2626778328","https://openalex.org/W2726091402","https://openalex.org/W2736989307","https://openalex.org/W2756639730","https://openalex.org/W2766458393","https://openalex.org/W2774995230","https://openalex.org/W2788784374","https://openalex.org/W2791061589","https://openalex.org/W2806020300","https://openalex.org/W2806669038","https://openalex.org/W2883399209","https://openalex.org/W2890908069","https://openalex.org/W2896457183","https://openalex.org/W2898339904","https://openalex.org/W2902931860","https://openalex.org/W2937423263","https://openalex.org/W2948902769","https://openalex.org/W2952507770","https://openalex.org/W2954200106","https://openalex.org/W2971569798","https://openalex.org/W2973212832","https://openalex.org/W2988217457","https://openalex.org/W2988647680","https://openalex.org/W2994973178","https://openalex.org/W3029544297","https://openalex.org/W3029987866","https://openalex.org/W3040357889","https://openalex.org/W3080175947","https://openalex.org/W3081541477","https://openalex.org/W3081982339","https://openalex.org/W3098749165","https://openalex.org/W3101232548","https://openalex.org/W3105625590","https://openalex.org/W3133280145","https://openalex.org/W3147896836","https://openalex.org/W3162843419","https://openalex.org/W3163398071","https://openalex.org/W3186353172","https://openalex.org/W4212902066","https://openalex.org/W4233135949","https://openalex.org/W4236122429","https://openalex.org/W4249685886","https://openalex.org/W4285719527","https://openalex.org/W6676984168","https://openalex.org/W6739901393","https://openalex.org/W6748304040","https://openalex.org/W6760838039","https://openalex.org/W6831115086"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W3003606604","https://openalex.org/W2795129682","https://openalex.org/W3040974839"],"abstract_inverted_index":{"As":[0],"the":[1,40,52,65,98,107,123,128,145,148,158,205,219,231,239],"amount":[2],"of":[3,43,130,147,176,187,221,228],"content":[4],"that":[5,81,209],"is":[6,11,92],"created":[7],"on":[8,133,139,157,204,213],"social":[9,116,134,198],"media":[10,117,199],"constantly":[12],"increasing,":[13],"more":[14,16,188],"and":[15,18,32,61,86,119],"opinions":[17,131],"sentiments":[19],"are":[20,70,151,234],"expressed":[21,132],"by":[22,144,225],"people":[23],"in":[24,54,67,122],"various":[25,111,154],"subjects.":[26],"In":[27,104],"this":[28,105],"respect,":[29],"sentiment":[30],"analysis":[31,42],"opinion":[33],"mining":[34,56],"techniques":[35],"can":[36,217],"be":[37],"valuable":[38],"for":[39,73,95,97,114,126,196],"automatic":[41],"huge":[44],"textual":[45],"corpora":[46,85,216],"(comments,":[47],"reviews,":[48],"tweets":[49],"etc.).":[50],"Despite":[51],"advances":[53],"text":[55,62,120],"algorithms,":[57],"deep":[58,170],"learning":[59],"techniques,":[60],"representation":[63],"models,":[64],"results":[66,138],"such":[68],"tasks":[69],"very":[71],"good":[72],"only":[74],"a":[75,140,184,192,226],"few":[76],"high-density":[77],"languages":[78,101],"(e.g.,":[79],"English)":[80],"possess":[82],"large":[83],"training":[84],"rich":[87],"linguistic":[88],"resources;":[89],"nevertheless,":[90],"there":[91],"still":[93],"room":[94],"improvement":[96],"other":[99],"lower-density":[100],"as":[102],"well.":[103],"direction,":[106],"current":[108,149],"work":[109,150],"employs":[110],"language":[112,159,194,210,223],"models":[113,160,211,224,233],"representing":[115],"texts":[118],"classifiers":[121,155],"Greek":[124,197],"language,":[125],"detecting":[127],"polarity":[129],"media.":[135],"The":[136],"experimental":[137],"related":[141],"dataset":[142],"collected":[143],"authors":[146],"promising,":[152],"since":[153],"based":[156,212],"(naive":[161],"bayesian,":[162],"random":[163],"forests,":[164],"support":[165],"vector":[166],"machines,":[167],"logistic":[168],"regression,":[169],"feed-forward":[171],"neural":[172],"networks)":[173],"outperform":[174],"those":[175],"word":[177],"or":[178],"sentence-based":[179],"embeddings":[180],"(word2vec,":[181],"GloVe),":[182],"achieving":[183],"classification":[185],"accuracy":[186],"than":[189],"80%.":[190],"Additionally,":[191],"new":[193],"model":[195],"has":[200],"also":[201],"been":[202],"trained":[203],"aforementioned":[206],"dataset,":[207],"proving":[208],"domain":[214],"specific":[215],"improve":[218],"performance":[220],"generic":[222],"margin":[227],"2%.":[229],"Finally,":[230],"resulting":[232],"made":[235],"freely":[236],"available":[237],"to":[238],"research":[240],"community.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}