{"id":"https://openalex.org/W2768601449","doi":"https://doi.org/10.1007/978-3-319-71928-3_34","title":"An Ensemble Based Method for Predicting Emotion Intensity of Tweets","display_name":"An Ensemble Based Method for Predicting Emotion Intensity of Tweets","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2768601449","doi":"https://doi.org/10.1007/978-3-319-71928-3_34","mag":"2768601449"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-71928-3_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71928-3_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5018965092","display_name":"Sreekanth Madisetty","orcid":"https://orcid.org/0000-0002-6450-5150"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sreekanth Madisetty","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087152480","display_name":"Maunendra Sankar Desarkar","orcid":"https://orcid.org/0000-0003-1963-7338"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maunendra Sankar Desarkar","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018965092"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.1083,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94134708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"370"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8064697980880737},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.7358517050743103},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.7131944894790649},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6191740036010742},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5991885662078857},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5541582703590393},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5539553761482239},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.549321174621582},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5411682724952698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5312526226043701},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5275390148162842},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.47645214200019836},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.45930445194244385},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.43644189834594727},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.4214722812175751},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3932803273200989},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3678617477416992},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.1336587369441986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0819028913974762},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07489907741546631},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06977027654647827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064697980880737},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.7358517050743103},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.7131944894790649},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6191740036010742},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5991885662078857},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5541582703590393},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5539553761482239},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.549321174621582},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5411682724952698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5312526226043701},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5275390148162842},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.47645214200019836},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.45930445194244385},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.43644189834594727},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.4214722812175751},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3932803273200989},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3678617477416992},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.1336587369441986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0819028913974762},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07489907741546631},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06977027654647827},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-71928-3_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71928-3_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W104683736","https://openalex.org/W174542576","https://openalex.org/W193524605","https://openalex.org/W359818833","https://openalex.org/W810475488","https://openalex.org/W1513398909","https://openalex.org/W1569507287","https://openalex.org/W1589554437","https://openalex.org/W1743243001","https://openalex.org/W1800296434","https://openalex.org/W1832693441","https://openalex.org/W1839863673","https://openalex.org/W1971222444","https://openalex.org/W1987425720","https://openalex.org/W2022204871","https://openalex.org/W2040467972","https://openalex.org/W2105270083","https://openalex.org/W2111975591","https://openalex.org/W2146281278","https://openalex.org/W2153110279","https://openalex.org/W2160660844","https://openalex.org/W2250539671","https://openalex.org/W2252073650","https://openalex.org/W2267835966","https://openalex.org/W2295598076","https://openalex.org/W2557816620","https://openalex.org/W2754782386","https://openalex.org/W2756723094","https://openalex.org/W2963177779","https://openalex.org/W2963223838","https://openalex.org/W3102476541","https://openalex.org/W4234894178","https://openalex.org/W6813344030"],"related_works":["https://openalex.org/W2346975490","https://openalex.org/W2212852081","https://openalex.org/W2152815769","https://openalex.org/W2965885965","https://openalex.org/W2940772629","https://openalex.org/W3128656532","https://openalex.org/W3023022693","https://openalex.org/W3043581285","https://openalex.org/W3160991089","https://openalex.org/W1999320905"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}