What are the applications of NLP in e-commerce product reviews and ratings analysis?

NLP has various applications in e-commerce product reviews and ratings analysis:

Sentiment Analysis: NLP can be used to determine the sentiment expressed in product reviews, categorizing them as positive, negative, or neutral.

Aspect-Based Sentiment Analysis: NLP can identify specific aspects of a product mentioned in reviews and analyze sentiment associated with each aspect.

Keyword Extraction: NLP algorithms can extract key terms and phrases from reviews, helping businesses understand what customers are talking about most frequently.

Summarization: NLP can create summaries of product reviews, making it easier for businesses to quickly grasp the overall sentiment and feedback.

Topic Modeling: NLP techniques like Latent Dirichlet Allocation (LDA) can group reviews into topics, providing insights into common themes among customers.

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