Leveraging Part-of-Speech Tagging for Sentiment Analysis in Short Texts and Regular Texts-Reference-Cited by-同舟云学术

Leveraging Part-of-Speech Tagging for Sentiment Analysis in Short Texts and Regular Texts

Published:2018 Issue: Volume: Page:182-197
ISSN:0302-9743
Container-title:Semantic Technology
language:
Short-container-title:

Author:

Khong Wai-Howe,Soon Lay-Ki,Goh Hui-Ngo,Haw Su-Cheng

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04284-4_13

Reference17 articles.

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2. Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: LREC, vol. 10, pp. 2200–2204, May 2010

3. Brody, S., Elhadad, N.: An unsupervised aspect-sentiment model for online reviews. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 804–812. Association for Computational Linguistics, June 2010

4. Fei, G., Liu, B., Hsu, M., Castellanos, M., Ghosh, R.: A dictionary-based approach to identifying aspects im-plied by adjectives for opinion mining. In: 24th International Conference on Computational Linguistics, p. 309, December 2012

5. Giesbrecht, E., Evert, S.: Is part-of-speech tagging a solved task? An evaluation of POS taggers for the German web as corpus. In: Proceedings of the Fifth Web as Corpus Workshop, pp. 27–35, September 2009

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