IMDb Movie Reviews Dataset
Por um escritor misterioso
Last updated 23 dezembro 2024
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.
Working with IMDB Movie Review Data Vocabulary Collections
Guide to IMDb Movie Dataset With Python Implementation
PDF] Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques
Deep learning on Movie Reviews Dataset (IMDB Dataset - 50k reviews)
Sentiment Analysis of IMDB Dataset using RF, KNN, and MNB, by Rajvir Ahmed Shuvo
Sentiment-Analysis-of-IMDB-Movie-Reviews/Untitled.ipynb at master · shivakrishna2497/Sentiment-Analysis-of-IMDB-Movie-Reviews · GitHub
Even the Score(s) with a Better IMDb Rating System
IMDB Genre Classification using Deep Learning
Data Analysis End-to-End IMDb dataset, by Ognish Banerjee, Analytics Vidhya
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