Sentiment analysis using NLTK - A simple example
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Updated
Dec 2, 2022 - Jupyter Notebook
Sentiment analysis using NLTK - A simple example
Machine Learning-In this project, we aim to use machine learning models to help predict the price and price direction of oil.
Reddit' r/cryptocurrency Sentiment Analysis on crypto ticker discussions
Game prediction using 3 dataset retrieved from Reddit using VADERSentiment and SentimentIntensityAnalyzer.
Objective : Find bad store in amazon website and suggest amazon to give a training session for them. In the other hand, we also try to increase product purchase by offering Flash Sale program and implement it to the lowest purchase in good store. Here I implemented Sentiment Analysis in Text Column (Amazon Fine Food Reviews by Kaggle)
Generate investing insight by applying sentiment analysis on financial news headlines.
Simple Python Reddit Scraper using comments to form sentiments on Reddit comments
This project aims to provide insights into users' mental health states based on their textual statements. By leveraging machine learning and natural language processing techniques, we can predict and analyze mental health statuses to offer valuable support and guidance.
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