This repository contains several beginner guide notebooks that explain how to solve common problems using machine learning algorithms.
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Updated
Jul 25, 2022 - Jupyter Notebook
This repository contains several beginner guide notebooks that explain how to solve common problems using machine learning algorithms.
Jupyter Notebook exploring Sentiment Analysis with ChatGPT
I used Catboost for training a model on the numerical features of every YouTube video (e.g., the number of views, comments, likes, etc.) along with sentiment analysis of the video descriptions and comments using the VADER sentiment analysis model.
This project uses neural networks to perform sentiment analysis on movie reviews. Finally, a web app is created that interacts with a deployed recurrent neural network performing sentiment analysis.
📔 Sentiment analysis regarding helpfulness using the Amazon Fine Food dataset. Notebooks can be opened and executed using Google Colab.
Some demo sentiment analysis notebooks for my NLP students
An interactive .ipynb notebook about a vaccine sentiment analysis problem
NLP notebooks
The repository contains Jupyter notebooks for various NLP tasks.
A Notebook that allows you to determine the sentiment of a reviewer on a movie based on the rewiew that he wrote.
This repository contains introductory notebooks for text mining and web scrapping.
deep learning
G20 Indonesia 2022 Sentiment Analysis with Jupyter Notebook
Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway
Web-app that analyzes sentiment analysis of the movie review given by the user
This repository contains jupyter notebooks in python written when practising various concepts in artificial intelligence.
Python notebook to scrap sci-fi movies from imdb and analyse users reviews for specific movie
In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.
A jupyter notebook (python) with the implementation of deep learning in sentiment analysis of tweets
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