{"id":"https://openalex.org/W3012509427","doi":"https://doi.org/10.5220/0009349903910400","title":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","display_name":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3012509427","doi":"https://doi.org/10.5220/0009349903910400","mag":"3012509427"},"language":"en","primary_location":{"id":"doi:10.5220/0009349903910400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009349903910400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0009349903910400","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021755549","display_name":"Joschka Kersting","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joschka Kersting","raw_affiliation_strings":["Semantic Information Processing Group, Paderborn University, Warburger Str. 100, Paderborn, Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semantic Information Processing Group, Paderborn University, Warburger Str. 100, Paderborn, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011713768","display_name":"Michaela Geierhos","orcid":"https://orcid.org/0000-0002-8180-5606"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michaela Geierhos","raw_affiliation_strings":["Semantic Information Processing Group, Paderborn University, Warburger Str. 100, Paderborn, Germany, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semantic Information Processing Group, Paderborn University, Warburger Str. 100, Paderborn, Germany, --- Select a Country ---","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68443326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9545999765396118,"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":0.9187999963760376,"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/phrase","display_name":"Phrase","score":0.8230665922164917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8225499391555786},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.766750693321228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.690415620803833},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6583836078643799},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6317946314811707},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5932636857032776},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5526906251907349},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5284730792045593},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47004786133766174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4248006343841553},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.41070157289505005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3892660439014435},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07393237948417664}],"concepts":[{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.8230665922164917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225499391555786},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.766750693321228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.690415620803833},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6583836078643799},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6317946314811707},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5932636857032776},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5526906251907349},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5284730792045593},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47004786133766174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4248006343841553},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.41070157289505005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3892660439014435},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07393237948417664},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.5220/0009349903910400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009349903910400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0009349903910400","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009349903910400","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2065387230","https://openalex.org/W2323937687","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W648995381","https://openalex.org/W3033791384","https://openalex.org/W2141885522","https://openalex.org/W2776312268","https://openalex.org/W4246315097"],"abstract_inverted_index":{"This":[0,25],"paper":[1],"deals":[2],"with":[3,80],"aspect":[4,92],"phrase":[5],"extraction":[6],"and":[7,16,64,90,113],"classification":[8],"in":[9,33,94],"sentiment":[10,23],"analysis.":[11,24],"We":[12,52],"summarize":[13],"current":[14],"approaches":[15],"datasets":[17],"from":[18],"the":[19,71],"domain":[20,26],"of":[21,58,74,101],"aspect-based":[22],"detects":[27],"sentiments":[28],"expressed":[29],"for":[30,43,77,88],"individual":[31],"aspects":[32],"unstructured":[34],"text":[35],"data.":[36],"So":[37],"far,":[38],"mainly":[39],"commercial":[40],"user":[41],"reviews":[42],"products":[44],"or":[45],"services":[46],"such":[47],"as":[48],"restaurants":[49],"were":[50],"investigated.":[51],"here":[53],"present":[54],"our":[55,86,111],"dataset":[56,76],"consisting":[57],"German":[59],"physician":[60],"reviews,":[61],"a":[62,75,107],"sensitive":[63],"linguistically":[65],"complex":[66,109],"field.":[67],"Furthermore,":[68],"we":[69,84],"describe":[70],"annotation":[72],"process":[73],"supervised":[78],"learning":[79],"neural":[81],"networks.":[82],"Moreover,":[83],"introduce":[85],"model":[87],"extracting":[89],"classifying":[91],"phrases":[93],"one":[95],"step,":[96],"which":[97],"obtains":[98],"an":[99],"F1-score":[100],"80%.":[102],"By":[103],"applying":[104],"it":[105],"to":[106],"more":[108],"domain,":[110],"approach":[112],"results":[114],"outperform":[115],"previous":[116],"approaches.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
