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29 gru 2023 · This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing.
This repository contains a comprehensive analysis of the IMDb Top 1000 Movies dataset. Explore insights into movie ratings, box office performance, genre trends, director contributions, and more. Dive into the world of cinema through data-driven exploration and visualization.
This repository contains an Excel workbook for analyzing IMDb movie data. It offers a comprehensive set of worksheets and formulas to explore and gain insights from movie metadata, ratings, and reviews available on the IMDb platform.
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.
3 mar 2022 · Dr. James McCaffrey of Microsoft Research shows how to get the raw source IMDB data, read the movie reviews into memory, parse and tokenize the reviews, create a vocabulary dictionary and convert the reviews to a numeric form.
This is a dataset of 25,000 movies reviews from IMDB, labeled by sentiment (positive/negative). Reviews have been preprocessed, and each review is encoded as a list of word indexes (integers).
20 wrz 2024 · This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing.
