Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tutorials | 552 | 3 years ago | mit | Jupyter Notebook | ||||||
Code for some of my articles | ||||||||||
Reddit Sentiment Analysis | 203 | 2 years ago | mit | Python | ||||||
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value. | ||||||||||
Twitter Sentiment Visualisation | 189 | a year ago | 8 | CoffeeScript | ||||||
🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends | ||||||||||
Billboard | 36 | 6 years ago | mit | JavaScript | ||||||
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015. | ||||||||||
Avicii Project | 31 | a year ago | Jupyter Notebook | |||||||
When Avicii died, I tried to get a new understanding of the developments in his music. It started as a research project, but ended as a unique way to visualise emotion in music. I decided to share the code I used for my analysis here. For the full story, visit the project website. | ||||||||||
Drugs Recommendation Using Reviews | 27 | 5 years ago | 1 | gpl-3.0 | Jupyter Notebook | |||||
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient. | ||||||||||
Pubnub Live Twitter Dashboard | 27 | 8 years ago | 2 | mit | Python | |||||
Analyze sentiment from tweets and display it on an interactive dashboard | ||||||||||
Stock News Sentiment Analysis | 18 | 3 years ago | mit | Python | ||||||
This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock | ||||||||||
Zomato | 18 | 4 years ago | mit | Jupyter Notebook | ||||||
Zomato Restaurants Exploratory Data Analysis, Visualization and Prediction with Sentiment Analysis of Reviews and Recommendation System | ||||||||||
Chronist | 16 | 5 years ago | 2 | mit | HTML | |||||
Long-term analysis of emotion, age, and sentiment using Lifeslice and text records. |