TarikKaanKoc/IMDB-Sentiment-Analysis-NLP
IMDB dataset having 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 negative reviews using either classification or deep learning algorithms
This project helps you understand the overall sentiment expressed in movie reviews. You input a large collection of text-based movie reviews, and it tells you how many are positive and how many are negative. It's designed for data analysts, researchers, or anyone interested in automatically categorizing audience opinions from textual feedback.
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Use this if you need to quickly determine the general sentiment (positive or negative) from a large volume of customer feedback or user comments, specifically for movie reviews.
Not ideal if you need nuanced sentiment (e.g., neutral, mixed emotions) or sentiment analysis for domains other than movie reviews.
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Apache-2.0
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Last pushed
Jul 16, 2022
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