Classify IMDB comment dataset into different sentiments using keras
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Updated
Nov 3, 2018 - Python
Classify IMDB comment dataset into different sentiments using keras
Helps you to decide with the best films ...and then go to the cinema, download it, or buy a disk
Use R script to plot your own personal movie ratings against the average IMDB user's. The R script also runs a KNN Model that predicts what movies you will like based on your personal IMDB ratings.
✨ Shows you various data and statistics using your imdb ratings and the tvmaze api. 📈
Easily create a topic with iMDB/MyDramaList infos using a template
Bag-of-words (BOW) sentiment classifier
A simple script procedure in Python to extract text information about thousands of films in IMDB using Python3 and Elastic Search.
csv of imdb tv shows and lists + python scripts to create new csv files
Web Scraping IMDB Top 250 page in Python using BeautifulSoup.
This program will cover your movie folder with its poster (windows)
Makes a folder with separated sorted symbolic links from a messy large download folder without moving the files (symbolic links is awesome)
Scraper and heatmap plotter for episode ratings of series on IMDB
Este script, permite buscar automaticamente filmes no IMDb (Internet Movie Database) com base em arquivos ".mkv" e incluir tags relevantes. O script utiliza a API do OMDB para obter dados de filmes do IMDb e realiza as operações necessárias de tagging.
Find IMDB users who share your opinion, positive or negative, on certain movies and watch their profiles for recommendations.
Add a description, image, and links to the imdb topic page so that developers can more easily learn about it.
To associate your repository with the imdb topic, visit your repo's landing page and select "manage topics."