• Niraj Nandu Vesaokar

This research project aims to perform sentiment analysis on customer reviews of Amazon Alexa products using machine learning techniques. Sentiment analysis, also known as opinion mining, is a natural language processing task that involves determining the sentiment or emotion expressed in a piece of text. In this study, we explore the application of machine learning algorithms to classify customer reviews of Amazon Alexa products into positive and negative sentiments. We use a dataset of customer reviews and employ a Random Forest Classifier to build a sentiment analysis model. The performance of the model is evaluated using various metrics, including accuracy, precision, recall, and F1-score.

Sentiment Analysis, Amazon Alexa, Reviews, Machine Learning, NLTK, scikit-learn

"Sentiment Analysis of Amazon Alexa Reviews using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.d247-d252, August-2023, Available :http://www.jetir.org/papers/JETIR2308332.pdf

"Sentiment Analysis of Amazon Alexa Reviews using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppd247-d252, August-2023, Available at : http://www.jetir.org/papers/JETIR2308332.pdf