Author:
Yin Fulian,Wang Yanyan,Liu Jianbo
Publisher
Springer International Publishing
Reference19 articles.
1. Tang, D., Wei, F., Yang, N., et al.: Learning sentiment-specific word embedding for Twitter sentiment classification. In: The 52nd Annual Meeting of the Association for Computational Linguistics, pp. 1555–1565 (2014)
2. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: Proceeding of International Conference on Language Resources and Evaluation, pp. 17–23. European Languages Resources Association (ELRA), Valletta, Malta (2010)
3. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceeding of Empirical Methods in Natural Language Processing, pp. 79–86 (2002)
4. Venkatasubramanian, S., Veilumuthu, A., Krishnamurthy, A., et al.: A non-syntactic approach for text sentiment classification with stopwords. In: Proceeding of the ACM International Conference Companion on World Wide Web, pp. 137–138 (2011)
5. Duwairi, R.M., Qarqaz, I.: Arabic sentiment analysis using supervised classification. In: Proceeding of International Conference on Future Internet of Things and Cloud, pp. 579–583. IEEE (2014)