Abstract
This paper describes a system for problem phrase extraction from texts that contain users’ reviews of products. In contrast to recent works, this system is based on dictionaries and heuristics, not a machine learning algorithms. We explored two approaches to dictionary construction: manual and automatic. We evaluated the system on a dataset constructed using Amazon Mechanical Turk. Performance values are compared to a machine learning baseline.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
De Saeger, S., Torisawa, K., Kazama, J.: Looking for Trouble. In: Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, pp. 185–192. Association for Computational Linguistics (2008)
Fleiss, J.L.: Statistical Methods for Rates and Proportions. Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statistics. Wiley, New York (1981)
Gupta, N.: Extracting Descriptions of Problems with Products and Services from Twitter Data. In: Proceedings of the Third Workshop on Social Web Search and Mining, Beijing (2011)
Gupta, N.: Extracting Phrases Describing Problems with Products and Services from Twitter Messages. Technical report, Conference on Intelligent Text Processing and Computational Linguistics (2013)
Hu, M., Liu, B.: Mining and Summarizing Customer Reviews. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2004, pp. 168–177. ACM, New York (2004a)
Hu, M., Liu, B.: Mining Opinion Features in Customer Reviews. In: Proceedings of the 19th National Conference on Artificial Intelligence (2004b)
Indurkhya, N., Damerau, F.J.: Handbook of Natural Language Processing, vol. 2. CRC Press (2010)
Liu, B., Hu, M., Cheng, J.: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, pp. 342–351. ACM, New York (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Solovyev, V., Ivanov, V. (2014). Dictionary-Based Problem Phrase Extraction from User Reviews. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science(), vol 8655. Springer, Cham. https://doi.org/10.1007/978-3-319-10816-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-10816-2_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10815-5
Online ISBN: 978-3-319-10816-2
eBook Packages: Computer ScienceComputer Science (R0)