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Explore sentiment analysis on the IMDB movie reviews dataset using Python. This Jupyter Notebook showcases text preprocessing, TF-IDF feature extraction, and model training (Multinomial Naive Bayes, Random Forest) for sentiment classification.
Overview. This project implements sentiment analysis in natural language processing (NLP) using machine learning techniques. The goal is to classify movie reviews as positive or negative based on the sentiment expressed in the text. Features. Preprocesses raw text data to remove noise and standardize the format.
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 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).
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.
28 cze 2024 · Horizon: An American Saga - Chapter 1: Directed by Kevin Costner. With Kevin Costner, Sienna Miller, Sam Worthington, Jena Malone. Chronicles a multi-faceted, 15-year span of pre-and post-Civil War expansion and settlement of the American west.
26 cze 2024 · Reviews. Horizon: An American Saga – Chapter 1. 181 minutes ‧ R ‧ 2024. Robert Daniels. June 26, 2024. 5 min read. Over sixty years ago, directors Henry Hathaway, John Ford, and George Marshall joined forces to tell the story of America’s push toward the Pacific. “How The West Was Won” was a tremendous undertaking.
