Exploring multimodal perspectives in collaborative writing: Sentiment analysis and word frequency in natural language processing
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Published
2024-09-21
Issue:
2024
Section: Proceedings Papers
Copyright (c) 2024 So-Hee Kim

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract
This research explored Korean EFL learners’ perspectives towards three different media modes in collaborative writing on Google Docs. To examine this, the study utilized sentiment analysis and word frequency in natural language processing (NLP). The results suggest how media modes can be effectively deployed in collaborative English writing.
Keywords: Multimodality, Collaborative writing, Sentiment analysis, Word frequency, NLP
Suggested Citation:
Kim, S.-H. (2024). Exploring multimodal perspectives in collaborative writing: Sentiment analysis and word frequency in natural language processing. Proceedings of the International CALL Research Conference, 2024, 105–108. https://doi.org/10.29140/9780648184485-16
