More than words: Social networks’ text mining for consumer brand sentiments

Author:

Mostafa Mohamed M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference87 articles.

1. Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums;Abbasi;ACM Transactions on Information and Systems,2008

2. Abrahams, A., Jiao, J., Wang, G., & Fan, W. (Forthcoming). Vehicle defect discovery from social media. Decision Support Systems.

3. Agerri, R., & Garcia-Serrano, A. (2010). Q-WordNet: Extracting polarity from WordNet senses. In Paper presented at the 7th conference on international language resources and evaluation. Malta (www.irec-conf.org).

4. Ahmed, K., & Almas, Y. (2005). Visualising sentiments in financial texts? In Proceedings of the 9th international conference on, information visualization (pp. 363–368).

5. Baccianella, S., Esuli, A., & Sebastiani, F. (2010). SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the 7th conference on international, language resources and evaluation (www.irec-conf.org).

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