Chat logs are records of text conversations that have taken place in a chat application. They include details of messages exchanged, timestamps, and participant information.
Natural Language Processing (NLP) in sentiment analysis of customer support chat logs involves using algorithms to analyze and interpret the emotions and opinions expressed in text data from customer interactions. By applying NLP techniques, businesses can gain valuable insights into customer satisfaction, identify trends, and improve service quality.
ChatGPT can be used for sentiment analysis in customer support interactions or chat logs by leveraging its natural language processing capabilities to analyze the tone and emotions expressed in text data. By training ChatGPT on labeled sentiment data, it can learn to categorize text into positive, negative, or neutral sentiments, enabling businesses to gain insights into customer feedback and interactions.
