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.
LSTM: Sentimental Analysis Using Keras with IMDB dataset
IMDb Users' Ratings Dataset
Learn how to deal with label errors in the popular IMDb movie review dataset. : r/learnmachinelearning
ajaykarthick/imdb-movie-reviews · Datasets at Hugging Face
IMDB Dataset of 50K Movie Reviews
Preparing IMDB Movie Review Data for NLP Experiments -- Visual Studio Magazine
Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network -- Visual Studio Magazine
Text Cleaning and Hyperparameter Optimization on a IMDB movie review dataset with a Support Vector Machines model in Python, by Giovanni Valdata
Predicting IMDB Movie Rating Using Deep Learning
Working with IMDB Movie Review Data Vocabulary Collections
Text Mining - Sentiment Analysis
ANN - Natural Language Processing
Binary classification result: IMDB Dataset of 50K Movie Reviews.
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