Sentiment analysis refers to the process of computationally identifying and categorizing opinions expressed in text data to determine the sentiment conveyed, such as positive, negative, or neutral. It utilizes natural language processing (NLP) techniques to analyze customer feedback, reviews, and interactions across various channels. By understanding sentiment, chatlyn can gauge customer satisfaction, identify trends, and make data-driven decisions to enhance customer engagement and improve service quality.
What is sentiment analysis?
Sentiment analysis is the process of analyzing text to determine the sentiment expressed, whether it's positive, negative, or neutral.
How is sentiment analysis used in business?
Sentiment analysis helps businesses understand customer opinions, feedback, and sentiments, allowing them to make informed decisions, improve products or services, and enhance customer satisfaction.