Abstract
Sentiment analysis is a process used in natural language processing (NLP) to analyze and extract information related to individual opinions and emotions and determine the information’s polarity, such as positive, negative, or neutral. The analysis process involves several steps: data collection, pre-processing, feature extraction, classification, and evaluation.
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Goniwada, S.R. (2023). Sentiment Analysis. In: Introduction to Datafication. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9496-3_6
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DOI: https://doi.org/10.1007/978-1-4842-9496-3_6
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