Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information-Reference-Cited by-同舟云学术

Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information

Published:2019-05 Issue: Volume:54 Page:50-61
ISSN:1389-0417
Container-title:Cognitive Systems Research
language:en
Short-container-title:Cognitive Systems Research

Author:

Alharbi Ahmed Sulaiman M.,de Doncker Elise^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,Software

Reference62 articles.

1. Baccianella, S., Esuli, A., & Sebastiani, F. (2010). SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the seventh international conference on language resources and evaluation (LREC’10) (Vol. 10, pp. 2200–2204). doi:citeulike-article-id:9238846.

2. Bross, J., & Ehrig, H. (2013). Automatic construction of domain and aspect specific sentiment lexicons for customer review mining. In Proceedings of the 22nd ACM international conference on information & knowledge management - CIKM ’13 (pp. 1077–1086). http://dl.acm.org/citation.cfm?doid=2505515.2505574. https://doi.org/10.1145/2505515.2505574.

3. New avenues in opinion mining and sentiment analysis;Cambria;IEEE Intelligent Systems,2013

4. Chikersal, P., Poria, S., & Cambria, E. (2015). SeNTU: Sentiment analysis of tweets by combining a rule-based classifier with supervised learning. In SemEval2015 (pp. 647–651).

5. Emotion analysis on social media: Natural language processing approaches and applications;Das,2014

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