Author:
Baltas Alexandros,Kanavos Andreas,Tsakalidis Athanasios K.
Publisher
Springer International Publishing
Reference25 articles.
1. Agarwal, A., et al.: Sentiment analysis of Twitter data. In: Workshop on Languages in Social Media (2011)
2. Boiy, E., Moens, M.-F.: A machine learning approach to sentiment analysis in multilingual web texts. Inf. Retrieval 12(5), 526–558 (2008)
3. Bollen, J., Mao, H., Pepe, A.: Twitter sentiment and socio-economic phenomena. In: International Conference on Web and Social Media (ICWSM) (2011)
4. Chikersal, P., Poria, S., Cambria, E.: Sentiment analysis of tweets by combining a rule-based classifier with supervised learning. In: International Workshop on Semantic Evaluation (SemEval), pp. 647–651 (2015)
5. Chinthala, S., et al.: Sentiment analysis on twitter streaming data. in: Emerging ICT for Bridging the Future-Proceedings of the Annual Convention of the Computer Society of India (CSI), vol. 1 (2015)
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