NLP MSc Project: Plot-based movie genre classifier

🎬 Movie genre classification using TF-IDF and BERT embeddings with models like MultinomialNB, GaussianNB, BernoulliNB, Logistic Regression, Linear SVC, and Random Forest. Achieved best performance with Logistic Regression and TF-IDF vectorization. 🚀

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This repository contains a Machine Learning model built with Python and Scikit-learn to predict the genre of movies based on their titles and synopses. The model utilizes a TF-IDF Vectorizer and a Random Forest Classifier. It's a practical example of text classification in Natural Language Processing (NLP) techniques.

Basic classifier to allot a genre to a movie based on the summary text

Multi-Label Classification of Movie Genres from the summary of movie plots

This repository contains a Python-based project for movie genre classification. It utilizes machine learning techniques to predict the genre of a movie based on its textual description. The project includes data loading, preprocessing, model training (specifically using Logistic Regression & Navie Bayes), and evaluation.

Text Sentiment Classification model

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A machine learning project that classifies movies into genres by analyzing their plot summaries using text preprocessing (TF-IDF) and classification models.

Using Natural Language Processing (NLP) this project analyzes synopsis of movies and classifies them as comedy or drama.

This project uses machine learning techniques to classify movies into genres based on their screenplay text, represented in a bag-of-words format. The dataset contains word frequencies for 5,000 commonly occurring words across thousands of movies.

Determination of the genre of a movie based on its title as well as its description/overview (generally up to 140 words).

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This repository contains a project on Movie Genre Classification using multi-label classification techniques. The system processes movie plots and predicts multiple genres associated with each movie. The implementation uses NLP techniques , TF-IDF , and a Logistic Regression model wrapped in a One-vs-Rest classifier for genre prediction.

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a bilingual NLP model for classifying movie genres based on their descriptions

The objective is to create a movie genre classifier based on the description given.

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