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Metacritic API is a provider of compilations on reviews of music albums, video games, movies, television shows, DVDs and books.
movie review app...
This project suggests you the list of movies based on the movie title that you have entered. It uses Count Vectorizer (Text-Feature Extraction tool) to find the relation between similar movies.
First HTML, CSS & Javascript project. This project includes Slick, Bootstrap, jQuery. You can start explore from index.html file. Here is the link: https://cinethrill.vercel.app
IMDB reviews sentiment analysis.
Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.
Explore the world of movies and TV shows with my captivating web app. Find, discover, and enjoy your favorite titles with ease. Sharpening my React skills while creating an immersive experience for movie enthusiasts.
A neural network model for sentiment analysis of movie reviews using IMDb dataset. The model is built using PyTorch and BERT as the feature extractor.
This project collects movies information from IMDb using web scraping, then uses this data to guess movie ratings. It combines the skills of gathering data from the internet to predict how well movies are liked.
Sentiment Analysis using Natural Language Processing
"Word2Vec for Russian text" - my project for course "Scientific Data Computing" in University of Tartu. It was presented as 20-minutes talk on 6th Estonian Digital Humanities Conference at September 2018.
A web application for movies review and ratings specially . In the application we can see & give reviews plus stars to a particular movie .
Sentiment analysis using pre-trained neural networks based on transformers.
Movie Reviews Sentiment Analysis.
Machine Learning course of Piero Savastano 4: CountVectorizer, BernoulliNB, accuracy_score, pandas
this is my first data analysis demo using power bi , this analysis on data of best movies at all it depends on the rating of the movies using (IMDB)
University Project using MLPs
Text classification with tensorflow hub