How does NLP contribute to sentiment analysis and customer sentiment tracking?
Natural Language Processing (NLP) plays a crucial role in sentiment analysis and customer sentiment tracking by enabling the extraction, classification, and interpretation of emotions from text data. NLP algorithms can analyze large volumes of text to determine whether the sentiment expressed is positive, negative, or neutral. This helps businesses understand customer opinions, trends, and preferences, allowing them to make data-driven decisions to improve products and services.