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http://hdl.handle.net/10397/72206
Title: | Extracting Chinese polarity shifting patterns from massive text corpora | Authors: | Xu, G Huang, CR |
Issue Date: | 2016 | Source: | Lingua sinica, 2016, v. 2, no. 5, 5, p. 1-22 | Abstract: | In sentiment analysis, polarity shifting means shifting the polarity of a sentiment clue that expresses emotion, evaluation, etc. Compared with other natural language processing (NLP) tasks, extracting polarity shifting patterns from corpora is a challenging one because the methods used to shift polarity are flexible, which often invalidates fully automatic approaches. In this study, which aimed to extract polarity shifting patterns that inverted, attenuated, or canceled polarity, we used a semi-automatic approach based on sequence mining. This approach greatly reduced the cost of human annotating, while covering as many frequent polarity shifting patterns as possible. We tested this approach on different domain corpora and in different settings. Three types of experiments were performed and the experimental results were analyzed, which will be reported in this paper. | Keywords: | Sentiment analysis Polarity shifting pattern Sequence mining Prior polarity |
Publisher: | Springer | Journal: | Lingua sinica | EISSN: | 2197-6678 | DOI: | 10.1186/s40655-016-0014-z | Rights: | © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, andindicate if changes were made. The following publication Xu, G., & Huang, C. R. (2016). Extracting Chinese polarity shifting patterns from massive text corpora. Lingua Sinica, 2(5), 5, 1-22 is available at https://dx.doi.org/10.1186/s40655-016-0014-z |
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Xu_Chinese_Polarity_Shifting.pdf | 1.31 MB | Adobe PDF | View/Open |
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