Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
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Updated
Sep 10, 2021 - Jupyter Notebook
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.
This repository contains analysis of IMDB data from multiple sources and analysis of movies/cast/box office revenues, movie brands and franchises.
Topics related to Deep Learning
SQL queries performed on IMDb database to provide recommendations to RSVP Movies based on insights.
A Vagrant box that automatically loads the IMDB dataset into Postgres
Sentiment analysis of IMDB dataset.
Project 0 for the Introduction to "Artificial Intelligence with Python" Harvard online course. App that finds a connection between two actors bases on the movies they have starred in, using BFS algorithm.
🎬 An attempt at the most complete IMDb API
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)
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2022.
Detect actor / actress faces in an image and list their work (movies / series)
🎥 R data package to explore Pixar films, the people, and reception data
Pytorch implementation of the paper Convolutional Neural Networks for Sentence Classification
IMDB's website full scraping of title, rating, actors, genres and more which produces a csv file (using an API too). Including cleaning and a machine learning algorithm that predict the IMDB rating based on differents criterias.
Builds a Microsoft SQL Server 2016+ relational database from IMDb official data files, to support personal querying.
Exploring data analysis using Python with Jupyter notebooks, Matplotlib, Pandas and NumPy arrays.
Transfer Learning model using RoBERTa on IMDb dataset deployed on React and Flask ( Regional Winner in Facebook Developer Community Challenge 2020 )
This project demonstrates how to create a sentiment analysis and machine learning model on the IMDB dataset
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