Abstract
Sentiment analysis is an important task in corpus linguistics and natural language processing. Based on statistical and machine-learning algorithms, texts’ subjective evaluations and emotional states can be detected, extracted, and classified. Sentiment analysis results are significant to the development of many different industries in the financial, political, medical, and entertainment domains. They are beneficial to make relevant stakeholders have a good command of public attitudes to products, policies, medical treatment, and services in order to make appropriate adjustments. Lei and Liu provide a comprehensive and concise introduction to sentiment analysis to assist students and academics in understanding the theoretical aspects and the application of sentiment analysis.
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Acknowledgements
We extend our sincere gratitute to Doctor Yu-Yin Hsu for offering great help for manuscript revision. This research is funded by General Research Fund ”Modality Exclusivity and Embodiment Correlations in Mandarin Sensory Lexicon”(15610621)
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Lei, S., Huang, CR. Conducting sentiment analysis: Lei L. & Liu D. Elements in Corpus Linguistics, CUP. Lang Resources & Evaluation 56, 1373–1377 (2022). https://doi.org/10.1007/s10579-022-09593-5
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DOI: https://doi.org/10.1007/s10579-022-09593-5