Sentiment analysis is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral.

For example, you can use sentiment analysis to determine the sentiments of comments on a blog posting to determine if your readers liked the post. You can ...

This dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels) for learning how to train fastText for ...

22 нояб. 2022 г. · We present a solution that can help companies analyze customer sentiment (both full and targeted) in near-real time (usually in a few minutes) ...

8 февр. 2024 г. · This project aims to perform sentiment analysis on Amazon reviews using two different approaches: VADER (valence-aware dictionary and sentiment Reasoner)

Sentiment analysis enables bots to detect user sentiment, manage conversation flow, perform post-call analysis. Amazon Lex integrates with Amazon Comprehend for ...

This dataset consists of ranking product ratings and reviews on Amazon. Please review this notebook to observe how I came up with this dataset This dataset ...

This notebook gives an in-depth technical idea of how sentiment of a product reviews are predicted with the help of Natural Language Processing tools.

28 авг. 2024 г. · Sentiment analysis determines the sentiment or emotion behind a piece of text. It's widely used to analyze customer reviews, social media posts, ...

We used supervised learning method on a large scale amazon dataset to polarize it and get satisfactory accuracy.