IMDb Movie Reviews Dataset
Por um escritor misterioso
Descrição
The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative review has a score ≤ 4 out of 10, and a positive review has a score ≥ 7 out of 10. No more than 30 reviews are included per movie. The dataset contains additional unlabeled data.
GitHub - Balakishan77/Sentiment-Analyis-of-IMDB-dataset: Predicting sentiment of the IMDB reviews
GitHub - roshancyriacmathew/Machine-Learning-on-Movie-Reviews-IMDB-Dataset ---50k-reviews-: This project demonstrates how to create a sentiment analysis and machine learning model on the IMDB dataset
IMDB dataset (Sentiment analysis) in CSV format
Sentiment analysis on IMDB using lexicon and neural networks
IMDb Dataset - From 1888 to 2023
Sentimental Analysis Of IMDB Movie Reviews - Data Science
Sentiment Analysis On IMDB Movie Review, by Yash Alpeshbhai Patel
Sentiment Analysis of IMDB Dataset using RF, KNN, and MNB, by Rajvir Ahmed Shuvo
Even the Score(s) with a Better IMDb Rating System
ANN - Natural Language Processing
IMDB Movie Reviews (Binary Sentiment)
IMDB Sentiment Analysis based on comment Machine Learning
Movie reviews posted by the same user from the IMDB dataset
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