sentiment analysis from imdb reviews

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.

Using LSTM for sentiment analysis of IMDB movie reviews and using GloVe Embeddings for analogy tasks

Final project for Natural Language Processing class.

A class project to design the database for IMDB.

Makes a folder with separated sorted symbolic links from a messy large download folder without moving the files (symbolic links is awesome)

Repository with natural language processing implementations in Jupyter Notebooks

Do movies have increased in length the last years (since 2010) ?

Masked Language Model Task Implementation in Tensorflow2

Movie Review Sentiment Analysis Using CNN and MLP

Exploratory data analysis of top 250 IMDb films with different genres and other factors.

The comparison between different embeddings (TF-IDF, USE, and TF-IDF + USE) and various classifiers provides valuable insights into the performance of different techniques for sentiment classification.

Final Project for Statistics with R classes

This project aims to classify movie reviews from the IMDb dataset as positive or negative using sentiment analysis. The approach includes data preprocessing steps, such as cleaning and vectorizing the data, and trying out 11 different machine learning models.

RSVP - Movies SQL queries performed on IMDb database to provide recommendations to RSVP Movies based on insights.

Script to download IMDb data and convert it to tsv files

Final Project of ECE885

Sentiment Classsification on IMDB review data using CNN.

APIs for fetching basic movie information from IMDB.

Deep Learning