[SOLVED] Hw assignment 3 (a3): sentiment analysis cs6120

Sentiment analysis or opinion mining focuses on identifying and categorizing opinions expressed in text toward a particular topic, product, or service is positive, negative, or neutral. This technology is widely used in monitoring and analyzing customer feedback, market research, and social media monitoring to understand consumer sentiment.

Amazon reviews are a rich data source for sentiment analysis because they consist of a textual review and a star rating, typically on a scale from 1 to 5 stars, which clearly indicates the customer’s sentiment towards the product. These reviews are written by customers who have purchased and used the products, offering their opinions, experiences, and satisfaction levels. Sentiment analysis on Amazon reviews involves processing and analyzing these texts to extract insights about general sentiment, specific features of the product that customers liked or disliked, and overall customer satisfaction. Such analysis helps businesses improve products, address customer concerns, and make strategic decisions.

Use Amazon reviews for one or more categories of products found here:

https://cseweb.ucsd.edu/~jmcauley/datasets/amazon/links.html

Clean and preprocess the data including removing irrelevant information, stop words, lower casing and standardizing the text format for analysis. dataset. Apply sentiment analysis techniques to the preprocessed review texts as discussed in the class and starter program. Finally, analyze the results to identify patterns and insights.

Please submit a fully executed jupyter notebook identifying question number and steps. Make sure to add comments to your solution.