David Hume was right when he said that when deciding whether something is good or bad, reason is superior to sentiment or feeling.
Sentiment analysis, also referred to as opinion mining or emotion AI, uses computational linguistics, biometrics, natural language processing, and text analysis to systematically identify, extract, quantify, and study good affective states and subjective data. Sentiment analysis is frequently used for applications ranging from marketing to customer service to clinical sentiment medicine in voice of the customer materials good like reviews and survey responses, online and social media, and healthcare materials. More challenging data domains, like news texts where authors typically express sentiment their opinions/sentiments less explicitly, can now be analyzed thanks to the development of deep language models like RoBERTa.
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