How can sentiment analysis be used to analyze call center transcripts?

This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis involves the use of data ... In the second section, a stratified taxonomy of SA tools is proposed, which distinguishes: (1) the emotion theory adopted by the tool; (2) the method used to ... Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and ... Aug 8, 2022 ... Sentiment analysis predominantly uses NLP and ML to make sense of the linguistic nuances observed in user interactions. The foundations of ... Sep 15, 2018 ... The traditional approaches to Twitter Sentiment Analysis (TSA) include dictionary-based and use supervised machine learning tools for sentiment ... Sep 15, 2011 ... Hauffa, 2011), sentiment analysis was used to characterize social relations. ... opinion-related features, which showed that sentiment analysis ... Apr 8, 2024 ... One example is market sentiment monitoring, which uses sentiment analysis to monitor overall sentiment and public opinion on industry trends, ... Sep 11, 2023 ... Opinionated pieces of text can be further divided into negative and positive, using polarity classification. This technique works for large- ... Feb 26, 2018 ... In essence, it is the process of determining the emotional tone behind a series of words, used to gain an understanding of the the attitudes, ... Jul 22, 2024 ... Applying LLMs to sentiment analysis. Sentiment analysis is a use case that is deeply affected by LLMs due to their ability to understand context ...