DEEP LEARNING MODEL FOR BILINGUAL SENTIMENT CLASSIFICATION OF SHORT TEXTS

Article English OPEN
Y. B. Abdullin; V. V. Ivanov;
(2017)
  • Publisher: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
  • Journal: Naučno-tehničeskij Vestnik Informacionnyh Tehnologij (issn: 2226-1494, eissn: 2500-0373)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.17586/2226-1494-2017-17-1-129-136
  • Subject: sentiment analysis | deep learning | Kazakh language | recurrent neural networks | QC350-467 | bilingual word embeddings | Electronic computers. Computer science | Optics. Light | QA75.5-76.95
    acm: ComputingMethodologies_DOCUMENTANDTEXTPROCESSING | ComputingMethodologies_ARTIFICIALINTELLIGENCE | ComputingMethodologies_PATTERNRECOGNITION | InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL

Sentiment analysis of short texts such as Twitter messages and comments in news portals is challenging due to the lack of contextual information. We propose a deep neural network model that uses bilingual word embeddings to effectively solve sentiment classification pro... View more