| TannerGilbert/Tutorials |
552 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Code for some of my articles |
| asad70/reddit-sentiment-analysis |
203 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value. |
| Lissy93/twitter-sentiment-visualisation |
189 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
|
CoffeeScript |
| 🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends |
| kevinschaich/billboard |
36 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
JavaScript |
| 🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015. |
| edriessen/avicii-project |
31 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
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. |
| sharmaroshan/Drugs-Recommendation-using-Reviews |
27 |
|
0 |
0 |
almost 6 years ago |
0 |
|
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. |
| initialstate/pubnub-live-twitter-dashboard |
27 |
|
0 |
0 |
almost 9 years ago |
0 |
|
2 |
mit |
Python |
| Analyze sentiment from tweets and display it on an interactive dashboard |
| chiragsamal/Zomato |
18 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Zomato Restaurants Exploratory Data Analysis, Visualization and Prediction with Sentiment Analysis of Reviews and Recommendation System |
| asad70/stock-news-sentiment-analysis |
18 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock |
| cjroth/chronist |
16 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
HTML |
| Long-term analysis of emotion, age, and sentiment using Lifeslice and text records. |
