Let's chat about Brexit! A politically-sensitive dialog system based on Twitter data

Khatua, Aparup, Cambria, Erik, Khatua, Apalak, and Chaturvedi, Iti (2017) Let's chat about Brexit! A politically-sensitive dialog system based on Twitter data. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 393-398. From: ICDMW 2017: 17th IEEE International Conference on Data Mining Workshops, 18-21 November 2017, New Orleans, LA, USA.

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Abstract

Data scientists are exploring various semi-supervised learning methods to build conversational agents - commonly known as chatterbot. This paper investigates various issues related to a political chatterbot where human agents are politically opinionated. Here, understanding the latent intent of human agent is crucial for developing an efficient political chatterbot. We set our study in the context of 2016 Brexit referendum. We argue that employing a subjectivity detector and an emotion analyzer, in addition to the keyword based topic detector, enhances the intent detection process. Next, we discuss the importance of maintaining political neutrality. To maintain its neutrality, a chatterbot needs to disassociate itself from a politically opinionated response. This can be achieved by associating a response with a user or a set of users. Nowadays, the Twitter platform provides an enormous amount of user-generated contents for various socio-economic events. Hence, we have considered tweet feeds for developing the overall chatterbot architecture in the political domain.

Item ID: 63348
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5386-3800-2
ISSN: 2375-9259
Keywords: 2016 Brexit Referendum, Chatterbot, Twitter
Copyright Information: © 2017 IEEE.
Date Deposited: 08 Jul 2020 03:47
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing @ 100%
SEO Codes: 90 COMMERCIAL SERVICES AND TOURISM > 9003 Tourism > 900302 Socio-Cultural Issues in Tourism @ 100%
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