{"id":"https://openalex.org/W2955959540","doi":null,"title":"SemTagger: A Novel Approach for Semantic Similarity Based Hashtag Recommendation on Twitter","display_name":"SemTagger: A Novel Approach for Semantic Similarity Based Hashtag Recommendation on Twitter","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2955959540","mag":"2955959540"},"language":"en","primary_location":{"id":"mag:2955959540","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W17-7523.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419075","display_name":"International conference natural language processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International conference natural language processing","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5012395898","display_name":"Kuntal Dey","orcid":"https://orcid.org/0000-0001-6788-3168","observed_orcids":["https://orcid.org/0000-0001-6788-3168"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuntal Dey","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":"https://orcid.org/0000-0001-6788-3168","affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037746774","display_name":"Ritvik Shrivastava","orcid":"https://orcid.org/0000-0002-0549-2257","observed_orcids":["https://orcid.org/0000-0002-0549-2257"]},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ritvik Shrivastava","raw_affiliation_strings":["Netaji Subhas University of Technology, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-0549-2257","affiliations":[{"raw_affiliation_string":"Netaji Subhas University of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103437418","display_name":"Saroj Kaushik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saroj Kaushik","raw_affiliation_strings":["Indian Institute of Technology Indore, Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110629023","display_name":"L. Venkata Subramaniam","orcid":"https://orcid.org/0009-0001-3897-9758","observed_orcids":["https://orcid.org/0009-0001-3897-9758"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Venkata Subramaniam","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5580999851226807,"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/T10028","display_name":"Topic Modeling","score":0.5580999851226807,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.2615000009536743,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.05620000138878822,"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/hashtag-recommendation","display_name":"hashtag recommendation","score":0.9710000157356262},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"semantic similarity","score":0.9440000057220459},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.6150000095367432},{"id":"https://openalex.org/keywords/social-media-recommendation","display_name":"social media recommendation","score":0.45100000500679016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706767320632935},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6559128761291504},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6083118915557861},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5608901977539062},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41787058115005493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3608782887458801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.04202267527580261}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2955959540","doi":null,"is_oa":false,"landing_page_url":"https://www.aclweb.org/anthology/W17-7523.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419075","display_name":"International conference natural language processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International conference natural language processing","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W91766825","https://openalex.org/W1553232534","https://openalex.org/W1880262756","https://openalex.org/W1998002546","https://openalex.org/W2103567420","https://openalex.org/W2112251034","https://openalex.org/W2113552117","https://openalex.org/W2114544578","https://openalex.org/W2115687369","https://openalex.org/W2123442489","https://openalex.org/W2133990480","https://openalex.org/W2162107206","https://openalex.org/W2163605009","https://openalex.org/W2206595451","https://openalex.org/W2250475089","https://openalex.org/W2251376423","https://openalex.org/W2252127435","https://openalex.org/W2396764674","https://openalex.org/W2577917117","https://openalex.org/W2577986441","https://openalex.org/W2622149253","https://openalex.org/W3123122501"],"related_works":["https://openalex.org/W2535471157","https://openalex.org/W7098579074","https://openalex.org/W2287787062","https://openalex.org/W6983715229","https://openalex.org/W2886935635","https://openalex.org/W2572401286","https://openalex.org/W2775189135","https://openalex.org/W7043962597","https://openalex.org/W2794092542","https://openalex.org/W3160628464"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2019-07-12T00:00:00"}
