Extending Corpus-Based Discourse Analysis for Exploring Japanese Social Media

Heinrich P, Schäfer F (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 135 - 140

Conference Proceedings Title: Proceedings of 4th Asia Pacific Corpus Linguistics Conference (APCLC2018)

Event location: Takamatsu JP

Abstract

The present paper presents and applies novel techniques for corpus-based discourse analysis in order to analyze Japanese social media data. Firstly, we visualize collocational profiles of topic nodes (e. g. lexical items or corpus queries) by projecting word embeddings onto a two-dimensional semantically structured plane, where the size of the displayed items represent their association strength to the topic node. Secondly, we generalize collocations in two ways: by looking at collocates of discourses (which are created by combining several sets of lexical items), and by looking at second-order topic collocates of lexical items. We perform a discourse analysis in a corpus of more than 400,000,000 tweets produced before and in the aftermath of the Fukushima Daiichi nuclear disaster with a focus on discussions about (phasing out) nuclear energy.

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How to cite

APA:

Heinrich, P., & Schäfer, F. (2018). Extending Corpus-Based Discourse Analysis for Exploring Japanese Social Media. In Yukio Tono & Hitoshi Isahara (Eds.), Proceedings of 4th Asia Pacific Corpus Linguistics Conference (APCLC2018) (pp. 135 - 140). Takamatsu, JP.

MLA:

Heinrich, Philipp, and Fabian Schäfer. "Extending Corpus-Based Discourse Analysis for Exploring Japanese Social Media." Proceedings of the 4th Asia Pacific Corpus Linguistics Conference (APCLC2018), Takamatsu Ed. Yukio Tono & Hitoshi Isahara, 2018. 135 - 140.

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