AI-Sentiment-Analysis-on-IMDB-Dataset and Sentiment-Analysis-of-IMDB-Movie-Reviews

AI-Sentiment-Analysis-on-IMDB-Dataset
36
Emerging
Sentiment-Analysis-of-IMDB-Movie-Reviews
36
Emerging
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 20/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 16/25
Stars: 62
Forks: 29
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 6
Forks: 7
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About AI-Sentiment-Analysis-on-IMDB-Dataset

SrinidhiRaghavan/AI-Sentiment-Analysis-on-IMDB-Dataset

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

This project helps anyone who needs to quickly understand public sentiment from a large collection of movie reviews. It takes raw text reviews and automatically classifies each one as either positive or negative. Market researchers, content creators, or analysts can use this to gauge audience reactions to films.

market-research audience-analysis content-evaluation social-listening text-analytics

About Sentiment-Analysis-of-IMDB-Movie-Reviews

Taha533/Sentiment-Analysis-of-IMDB-Movie-Reviews

This project focuses on sentiment analysis of movie reviews using the IMDb dataset. The dataset consists of 50,000 movie reviews labeled as positive or negative. The main goal of this project is to develop models that can accurately classify the sentiment of movie reviews.

Related comparisons

AI-Sentiment-Analysis-on-IMDB-Dataset and IMDB_Sentiment_Analysis AI-Sentiment-Analysis-on-IMDB-Dataset and IMDB-Sentiment-Analysis-LSTM AI-Sentiment-Analysis-on-IMDB-Dataset and movie-review-sentiment-analysis-bilstm

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