Abstract
Online retailers selling goods have desired to know what the customers think about their products. Sentiment analysis has enabled the people to do so by allowing them to rate their products as positive or negative. In this paper, we present a novel method for sentiment analysis of sentences with modalities which helps to determine the polarity of a phrase that describes opposite opinions. The model determines the sentiment orientation of the sentence and the type of modality observed in the sentence. This model was implemented on customer reviews of four different products used by them and the result shows that 72 % of documents were correctly classified.
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References
Sentiment analysis. In: Wikipedia, The Free Encyclopedia. http://en.wikipedia.org/w/index.php?title=Sentiment_analysis&oldid=637966670. Accessed 13 Dec 2014
Liu, Y., Yu, X., Chen, Z., Liu, B.: Sentiment analysis of sentences with modalities. In: Proceedings of the International Workshop on Mining Unstructured Big Data using Natural Language Processing (Unstructured NLP 2013), pp. 39–44 (2013)
Liu, Y., Yu, X., Chen, Z., Liu, B.: Sentence level sentiment analysis in the presence of modalities. In: Proceedings of 15th international Conference, CICLing 2014, Part II Kathmandu, Nepal, 6–12 April 2014
Karaa, W.B.A., Gribaa, N.: Information retrieval with porter stemmer: a new version for English. In: Nagamalai, D. et al. (eds) Advances in Computational Science, Engineering and Information Technology, pp. 243–254. Springer International Publishing, Switzerland, AISC 225 (2013)
Toutanova, K., Klein, D., Manning, C., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, vol. 1, p. 173 (2003)
Martineau, J., Finin, T.: Delta tfidf: an improved feature space for sentiment analysis. In: Proceedings of the 3rd AAAI International Conference on Weblogs and Social Media, pp. 258–261 (2009)
Decision List. In: Encylopedia of Machine Learning, Springer US, pp. 261 (2010)
Palmer, F.: Mood and Modality. Cambridge University Press (2001)
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Jain, S., Colaco, L.M., Rodrigues, O. (2016). Sentiment Analysis with Modality Processing. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_46
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DOI: https://doi.org/10.1007/978-81-322-2695-6_46
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