What are the applications of NLP in sentiment analysis of customer reviews on e-commerce platforms?

Natural Language Processing (NLP) is utilized in sentiment analysis of customer reviews on e-commerce platforms to extract valuable insights and sentiment from text data. Here are the key applications of NLP in this context:

• Sentiment Analysis: NLP algorithms categorize customer reviews into positive, negative, or neutral sentiments, helping businesses gauge customer opinions.
• Aspect-Based Sentiment Analysis: NLP can identify specific aspects of a product or service mentioned in reviews and analyze sentiment towards each aspect individually.
• Entity Recognition: NLP identifies entities such as product names or features mentioned in reviews, aiding in understanding customer feedback related to specific products.
• Feature Extraction: NLP extracts key features or keywords from reviews, providing a summary of customer sentiments towards different product aspects.
• Sentiment Classification: NLP models classify reviews based on sentiment polarity, enabling businesses to prioritize and address negative feedback promptly.