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Autoren:
Kersting, Joschka; Geierhos, Michaela 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
Aspect Phrase Extraction in Sentiment Analysis with Deep Learning 
Titel Konferenzpublikation:
Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) 
Untertitel Konferenzpublikation:
Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) 
Konferenztitel:
International Conference on Agents and Artificial Intelligence (12., 2020, Valetta) 
Tagungsort:
Valetta, Malta 
Jahr der Konferenz:
2020 
Datum Beginn der Konferenz:
20.02.2020 
Datum Ende der Konferenz:
24.02.2020 
Verlag:
SCITEPRESS 
Jahr:
2020 
Seiten von - bis:
391-400 
Sprache:
Englisch 
Stichwörter:
Deep Learning ; Natural Language Processing ; Aspect-based Sentiment Analysis 
Abstract:
This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthe...    »
 
Open Access ja oder nein?:
Nein / No