Abstract
In recent years, a Twitter response from another user who does not share the intentions and expectations of the original poster may cause discomfort and stress, which is a social phenomenon known as SNS fatigue. For example, a user may receive answers that are different from her/his expectation after the user posts a question on the timeline. In the background of such responses there is a miscommunication between users. In order to resolve the problem, it is important to know what the original poster expected as responses to her/his tweet. In this paper, we propose a classification method of tweets according to the response that users expect, and experimentally evaluate it. As a result, we have shown that tweets which the poster does not expect any replies can be classified with 76.2 % of the average precision.
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Notes
- 1.
Twitter Streaming API: https://dev.twitter.com/streaming/overview.
- 2.
JNI Kernel Extension for SVM-light: http://people.aifb.kit.edu/sbl/software/jnikernel/.
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Acknowledgements
This work was supported by JSPS KAKENHI Grant Numbers 24300005, 26330081, 26870201.
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Ueda, T., Orihara, R., Sei, Y., Tahara, Y., Ohsuga, A. (2015). Towards the Elimination of the Miscommunication Between Users in Twitter. In: Pfahringer, B., Renz, J. (eds) AI 2015: Advances in Artificial Intelligence. AI 2015. Lecture Notes in Computer Science(), vol 9457. Springer, Cham. https://doi.org/10.1007/978-3-319-26350-2_52
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DOI: https://doi.org/10.1007/978-3-319-26350-2_52
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