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.
Three sentence pair examples from IMDB Large Movie Review Dataset
Tableau Case Study : IMDb Dataset – Leonie M. Windari
Sentiment analysis on IMDB using lexicon and neural networks
Issues · laxmimerit/IMDB-Movie-Reviews-Large-Dataset-50k · GitHub
Guide to IMDb Movie Dataset With Python Implementation
IMDB dataset (Sentiment analysis) in CSV format
GitHub - Balakishan77/Sentiment-Analyis-of-IMDB-dataset: Predicting sentiment of the IMDB reviews
GitHub - MohammadWasil/Sentiment-Analysis-IMDb-Movie-Review: Recurrent Neural Network to classify the sentiments of the IMDb Movie Review.
Sentimental Analysis Of IMDB Movie Reviews - Data Science
Sentiment analysis on IMDB using lexicon and neural networks
Q-b1t/IMDB-Dataset-of-50K-Movie-Reviews-Backup · Datasets at Hugging Face
Text Cleaning and Hyperparameter Optimization on a IMDB movie review dataset with a Support Vector Machines model in Python, by Giovanni Valdata
PDF] Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques
IMDb Movie Reviews Benchmark (Text Classification)
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