Exploring multimodal perspectives in collaborative writing: Sentiment analysis and word frequency in natural language processing
Downloads
Published
2024-09-21
Issue:
2024
Section: 2026 CALL Proceedings
Copyright (c) 2024 So-Hee Kim
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Exploring multimodal perspectives in collaborative writing: Sentiment analysis and word frequency in natural language processing. (2024). Proceedings of the International CALL Research Conference, 2024, 105-108. https://doi.org/10.29140/9780648184485-16
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: Array, Array, Array, Array, Array
Suggested Citation:
Exploring multimodal perspectives in collaborative writing: Sentiment analysis and word frequency in natural language processing. (2024). Proceedings of the International CALL Research Conference, 2024, 105-108. https://doi.org/10.29140/9780648184485-16