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Large Movie Review Dataset.
- IMDb Movie Reviews - Kaggle
IMDb Contains 50,000 movie reviews labeled as positive or...
- IMDb Movie Reviews - Kaggle
IMDb Contains 50,000 movie reviews labeled as positive or negative.
Explore and run machine learning code with Kaggle Notebooks | Using data from IMDB Dataset of 50K Movie Reviews.
This project focuses on sentiment analysis of movie reviews using the IMDb dataset. The dataset consists of 50,000 movie reviews labeled as positive or negative. The main goal of this project is to develop models that can accurately classify the sentiment of movie reviews.
9 Μαΐ 2021 · In this story, we will do a sentiment analysis of IMDb reviews and classify them into positive and negative classes based on their sentiment. For this, we’ll take the IMDb dataset from...
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.
IMDB dataset has 50K movie reviews for natural language processing or Text analytics. 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. So, predict the number of positive and ...
