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.
Sentiment Analysis using Transformers - Part I - Analytics Vidhya
Scrape IMDB movie rating and details using Python and saving the details of top movies to .csv file - GeeksforGeeks
Solved Dataset ：IMDB Dataset of 50K Movie Reviews
Snapshot of IMDB dataset of 50K reviews
IMDb Movie Reviews Benchmark (Text Classification)
Learn how to deal with label errors in the popular IMDb movie review dataset. : r/learnmachinelearning
LSTM: Sentimental Analysis Using Keras with IMDB dataset
IMDB Dataset of 50K Movie 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
Text Cleaning and Hyperparameter Optimization on a IMDB movie review dataset with a Support Vector Machines model in Python, by Giovanni Valdata
ajaykarthick/imdb-movie-reviews · Datasets at Hugging Face
Binary classification result: IMDB Dataset of 50K Movie Reviews.
Sentiment analysis on IMDB using lexicon and neural networks
Deep learning on Movie Reviews Dataset (IMDB Dataset - 50k reviews)
IMDb Movie Reviews Benchmark (Opinion Mining)
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por adulto (o preço varia de acordo com o tamanho do grupo)
