Sentiment Classification from Online Customer Reviews Using Lexical Contextual Sentence Structure

Author:

Khan Aurangzeb,Baharudin Baharum,Khan Khairullah

Publisher

Springer Berlin Heidelberg

Reference28 articles.

1. Baharudin, B., Lee, L.H., Khan, K.: A review of machine learning algorithms for text-documents classification. Journal of Advances in Information. Techchnology 1, 4–20 (2010), http://ojs.academypublisher.com/index.php/jait/article/view/01010420 , doi:10.4304/jait.1.1.4-20.

2. Liu, B.: Sentiment Analysis and Subjectivity. In: Indurkhya, N., Damerau, F.J. (eds.) To Appear in Handbook of Natural Language Processing, 2nd edn., pp. 1–38. University of Illinois at Chicago, USA (2010a), http://www.cs.uic.edu/~liub/FBS/NLP-handbook-sentiment-analysis.pdf

3. Liu, B.: Sentiment analysis: A multi-faceted problem. IEEE  Intelligent  Syst. 1, 1–5 (2010b), http://www.cs.uic.edu/~liub/FBS/IEEE-Intell-Sentiment-Analysis.pdf

4. Popescu, A.M. and O. Etzioni (2004), Extracting product features and opinions from reviews, http://turing.cs.washington.edu/papers/emnlp05_opine.pdf

5. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDDM 2004), pp. 168–177. ACM, New York (2004b), doi:10.1145/1014052.1014073

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