Author:
Schouten Kim,Baas Frederique,Bus Olivier,Osinga Alexander,van de Ven Nikki,van Loenhout Steffie,Vrolijk Lisanne,Frasincar Flavius
Publisher
Springer International Publishing
Reference7 articles.
1. Baccianella, S., Esuli, A., Sebastiani, F.: 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 2010), vol. 10, pp. 2200–2204 (2010)
2. Brychcín, T., Konkol, M., Steinberger, J.: UWB: machine learning approach to aspect-based sentiment analysis. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 817–822. Association for Computational Linguistics and Dublin City University (2014)
3. Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics (ACL 1997), pp. 174–181. Morgan Kaufman Publishers and Association for Computational Linguistics (1997)
4. Kiritchenko, S., Zhu, X., Cherry, C., Mohammad, S.: NRC-Canada-2014: detecting aspects and sentiment in customer reviews. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 437–442. Association for Computational Linguistics and Dublin City University (2014)
5. Koto, F., Adriani, M.: The use of POS sequence for analyzing sentence pattern in Twitter sentiment analysis. In: Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA 2015), pp. 547–551. IEEE (2015)
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