Evaluating deep learning models for sentiment classification

Author:

Ay Karakuş Betül1ORCID,Talo Muhammed2,Hallaç İbrahim Rıza1,Aydin Galip1

Affiliation:

1. Department of Computer Engineering; Fırat University; Elazıǧ Turkey

2. Department of Computer Engineering; Munzur University; Tunceli Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference76 articles.

1. Cui H Mittal V Datar M Comparative experiments on sentiment classification for online product reviews 2006 Boston, MA

2. Qu Y Shanahan J Wiebe J Exploring attitude and affect in text: Theories and applications 2004 Palo Alto, CA

3. Socher R Perelygin A Wu J Recursive deep models for semantic compositionality over a sentiment treebank 2013 Seattle, WA

4. Pang B Lee L Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales 2005 Ann Arbor, MI

5. Deep learning: methods and applications;Deng;Found Trends® Signal Process,2014

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