{"id":"https://openalex.org/W3174370563","doi":"https://doi.org/10.1145/3447535.3462499","title":"fastText-based methods for Emotion Identification in Russian Internet Discourse","display_name":"fastText-based methods for Emotion Identification in Russian Internet Discourse","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3174370563","doi":"https://doi.org/10.1145/3447535.3462499","mag":"3174370563"},"language":"en","primary_location":{"id":"doi:10.1145/3447535.3462499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447535.3462499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","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/A5012414104","display_name":"Alexander Babii","orcid":"https://orcid.org/0000-0001-7943-5717"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Babii","raw_affiliation_strings":["Higher School of Economics, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher School of Economics, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012106445","display_name":"Marina Kazyulina","orcid":"https://orcid.org/0000-0002-1427-7591"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Marina Kazyulina","raw_affiliation_strings":["Higher School of Economics, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher School of Economics, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083549260","display_name":"Alexey Malafeev","orcid":"https://orcid.org/0000-0002-8962-7496"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Malafeev","raw_affiliation_strings":["Higher School of Economics, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher School of Economics, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":null,"apc_paid":null,"fwci":0.1365,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52695938,"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":"112","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.9988999962806702,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9908000230789185,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9901999831199646,"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/variety","display_name":"Variety (cybernetics)","score":0.7649418711662292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399588227272034},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7188396453857422},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6347925066947937},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5181787610054016},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.45615118741989136},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41119468212127686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40423068404197693},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4030642509460449}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7649418711662292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399588227272034},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7188396453857422},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6347925066947937},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5181787610054016},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.45615118741989136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41119468212127686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40423068404197693},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4030642509460449},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447535.3462499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447535.3462499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th ACM Web Science Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7295572838","display_name":null,"funder_award_id":"20-71-10010","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W357964226","https://openalex.org/W1569507287","https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2066064791","https://openalex.org/W2143612262","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2333931080","https://openalex.org/W2493916176","https://openalex.org/W2565744846","https://openalex.org/W2741447225","https://openalex.org/W2749002090","https://openalex.org/W2786205708","https://openalex.org/W2792317186","https://openalex.org/W2874464011","https://openalex.org/W2914240631","https://openalex.org/W2919115771","https://openalex.org/W2930838786","https://openalex.org/W2955429306","https://openalex.org/W2956043463","https://openalex.org/W2973034686","https://openalex.org/W3006478952","https://openalex.org/W3089427601","https://openalex.org/W3104080943","https://openalex.org/W3104757767","https://openalex.org/W3156623622","https://openalex.org/W6606465009","https://openalex.org/W6638824847"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,80],"tackle":[4],"the":[5,40,52,77,82,93],"problem":[6],"of":[7,32,48,72,84],"emotion":[8,89],"detection":[9],"and":[10,86],"classification":[11],"in":[12],"Russian":[13,55],"short":[14],"text":[15,49],"messages.":[16],"We":[17,34,61],"use":[18],"such":[19],"recent":[20],"NLP":[21],"development":[22],"as":[23],"fastText":[24],"that":[25,42],"produces":[26],"state-of-the-art":[27],"results":[28],"for":[29,92],"a":[30,36,46],"variety":[31],"tasks.":[33],"put":[35],"special":[37],"emphasis":[38],"on":[39],"challenges":[41],"arise":[43],"while":[44],"using":[45],"dataset":[47],"messages":[50],"from":[51],"most":[53],"popular":[54],"messaging/social":[56],"networking":[57],"services":[58],"(Telegram,":[59],"VK).":[60],"also":[62],"provide":[63],"an":[64],"extensive":[65],"quantitative":[66],"prediction":[67],"analysis":[68],"along":[69],"with":[70],"suggestions":[71],"possible":[73],"ways":[74],"to":[75],"improve":[76],"results.":[78],"Finally,":[79],"discuss":[81],"prospects":[83],"developing":[85],"implementing":[87],"discourse-specific":[88],"identification":[90],"technologies":[91],"Web.":[94]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
