What Is Sentiment Analysis In Academic Research, Its Types, And Its Importance? bogsky.com

Sentiment analysis encompasses the employment of Natural Language Processing (NLP) techniques. NLP techniques in textual analysis identify and analyse human emotions. It also utilises computational linguistic models and biometrics. Sentiment analysis has far-reaching implications for market research, customer surveys, marketing, customer service and clinical research. Researchers use NLP techniques to determine whether the data is positive, negative, or neutral. The usage of sentiment analysis is more common in textual analysis. It helps businesses comprehend the customer feedback gathered through social media.