Speaker landscapes: machine learning opens a window on the everyday language of opinion
Author:
Affiliation:
1. Physics, University of KwaZulu-Natal, Durban, South Africa
2. Psychology, University of Johannesburg, Johannesburg, South Africa
Funder
National Research Fouondation
SADiLaR
Publisher
Informa UK Limited
Subject
Communication
Link
https://www.tandfonline.com/doi/pdf/10.1080/19312458.2023.2277958
Reference44 articles.
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2. Aiken, L. R. (1996). Rating scales and checklists: Evaluating behavior, personality, and attitudes. John Wiley.
3. Stance detection on social media: State of the art and trends
4. Amir, S., Wallace, B. C., Lyu, H., Carvalho, P., & Silva, M. J. (2016). Modelling context with user embeddings for sarcasm detection in social media. Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, pp. 167–177.
5. Evaluating the Stability of Embedding-based Word Similarities
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