imdb-dataset

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

A Vagrant box that automatically loads the IMDB dataset into Postgres

Detect actor / actress faces in an image and list their work (movies / series)

Visualize the IMDB rating of every episode for any TV series.

Import imdb open .tsv data to PostgreSQL database and exposes simple REST API to explore data.

Repository of state of the art text/documentation classification algorithms in Pytorch.

Topics related to Deep Learning

🎥 R data package to explore Pixar films, the people, and reception data

🎬 An attempt at the most complete IMDb API

Scrape Data From IMDB Movie DataBase

Fetch movie data from IMDB and output in JSON format.

Pytorch implementation of the paper Convolutional Neural Networks for Sentence Classification

Builds a Microsoft SQL Server 2016+ relational database from IMDb official data files, to support personal querying.

This repository contains analysis of IMDB data from multiple sources and analysis of movies/cast/box office revenues, movie brands and franchises.

IMDB Movie Reviews - Text preprocessing and classification. Includes BOW model, TF_IDF, VADER entiment analysis, Topic Modelling using Latent Dirichlet Allocation and Word Embeddings. (Python)

Exploratory analysis on the IMDB movie database

This project contains a dataset comprising of information about Hollywood movies released between 1990 and 2019 and it was collected using a polite webscraper. Please keep in mind that IMDB doesn't permit the usage of its data for commercial purposes and this project was solely made for educational purpose.

APIs for fetching basic movie information from IMDB.

Detect spoilers in IMDb movie reviews with deep neural network

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

Machine learning algorithm to predict the genre of a movie based on a short storyline.

A machine learning model to recommend movies & tv series

It analyses the movie review entered by a user for any specific movie and analyses what is the sentiment of the review. It helps the companies rate the movie and understand crowd sentiment regarding it. Sentiment analysis is a natural language processing problem where text is understood and the underlying intent is predicted.

Movie rating predictions is implemented in this repo

This repository is for analyzing the relationships of top celebrities using IMDb database.

Deploying a Sentiment Analysis Model on Amazon Sagemaker which consists of deploying a Sentiment Analysis model using Recurrent Neural Networks in the Amazon AWS SageMaker tool. The notebook and Python files provided here result in a simple web application which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews. In the final architecture AWS API Gateway and AWS Lambda functions is used as well.

Sentiment Analysis using TF-IDF and Neural Network usign Imdb Dataset

Python package to both parse datsets provided by IMDb and scrape information from imdb.com