{"id":"https://openalex.org/W2096044534","doi":"https://doi.org/10.18653/v1/s15-2126","title":"UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis","display_name":"UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2096044534","doi":"https://doi.org/10.18653/v1/s15-2126","mag":"2096044534"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s15-2126","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2126","pdf_url":"https://www.aclweb.org/anthology/S15-2126.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S15-2126.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018766433","display_name":"Ravikanth Repaka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravikanth Repaka","raw_affiliation_strings":["Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041044862","display_name":"Ranga Reddy Pallelra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranga Reddy Pallelra","raw_affiliation_strings":["Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026305241","display_name":"Akshay Reddy Koppula","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshay Reddy Koppula","raw_affiliation_strings":["Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043916780","display_name":"Venkata Subhash Movva","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkata Subhash Movva","raw_affiliation_strings":["Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA","University of\u00a0Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Minnesota Duluth 320 Heller Hall 1114 Kirby Drive Duluth, MN 55812-2496, USA","institution_ids":["https://openalex.org/I4210115145"]},{"raw_affiliation_string":"University of\u00a0Minnesota","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.58062548,"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":"742","last_page":"747"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9937999844551086,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9815000295639038,"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/computer-science","display_name":"Computer science","score":0.8613573312759399},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8287859559059143},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7690216302871704},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7386066317558289},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7141557931900024},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7114152312278748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.698154628276825},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6375122666358948},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5339252948760986},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4971664249897003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46836769580841064},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.05165058374404907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8613573312759399},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8287859559059143},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7690216302871704},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7386066317558289},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7141557931900024},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7114152312278748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.698154628276825},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6375122666358948},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5339252948760986},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4971664249897003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46836769580841064},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.05165058374404907},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":1,"locations":[{"id":"doi:10.18653/v1/s15-2126","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2126","pdf_url":"https://www.aclweb.org/anthology/S15-2126.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s15-2126","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s15-2126","pdf_url":"https://www.aclweb.org/anthology/S15-2126.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 9th International Workshop on Semantic Evaluation (SemEval 2015)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2096044534.pdf","grobid_xml":"https://content.openalex.org/works/W2096044534.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1577417017","https://openalex.org/W2047676437","https://openalex.org/W2101234009","https://openalex.org/W2157963512","https://openalex.org/W2160660844","https://openalex.org/W2251294039","https://openalex.org/W2251628032","https://openalex.org/W2251648804"],"related_works":["https://openalex.org/W3116116498","https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W4385571001","https://openalex.org/W2117643817","https://openalex.org/W2357114597","https://openalex.org/W2115416187"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,55],"detailed":[4],"description":[5],"of":[6,9,18,36,82],"the":[7,13,25,37,40,47,50,63,68,79,83],"approach":[8],"our":[10,88],"system":[11,51,89],"for":[12,62,66,93],"Aspect-Based":[14],"Sentiment":[15,35],"Analysis":[16],"task":[17,21],"SemEval-2015.":[19],"The":[20],"is":[22,44,52,71,75,90],"to":[23],"identify":[24],"Aspect":[26],"Category":[27],"(Entity":[28],"and":[29,34,61],"Attribute":[30],"pair),":[31],"Opinion":[32],"Target":[33],"reviews.":[38],"For":[39,85],"In-domain":[41,86],"subtask":[42,65],"that":[43],"provided":[45],"with":[46],"training":[48,69],"data,":[49],"developed":[53,91],"using":[54],"supervised":[56],"technique":[57],"Support":[58],"Vector":[59],"Machine":[60],"Out-of-domain":[64],"which":[67],"data":[70],"not":[72],"provided,":[73],"it":[74],"implemented":[76],"based":[77],"on":[78],"sentiment":[80],"score":[81],"vocabulary.":[84],"subtask,":[87],"specifically":[92],"restaurant":[94],"data.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}