sentiment analysis from imdb reviews

Final project for Natural Language Processing class.

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

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.

Deep Learning

This repository includes assignment and project files for the IBM Data science specialization course. For most of the part, IBM Watson was used. Not all the notebooks may be here.

Analysis of IMDB datasets searching for interesting statistics//facts about movies/series

End semester project of my course Data Structures and Algorithms - IMDB .csv file parser

This project aims to analyze the provided IMDB movie dataset to uncover factors influencing movie success. Beginning with data cleaning and manipulation to handle missing values, duplicates, and feature engineering if necessary, the analysis progresses through various tasks.

Machine Learning Practical 2017/18, lectured by Prof. Steve Renals