malaya
Twitter-sentiment-analysis
| malaya | Twitter-sentiment-analysis | |
|---|---|---|
| 1 | 1 | |
| 457 | 2 | |
| 1.3% | - | |
| 9.0 | 0.0 | |
| 7 days ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
malaya
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Public Sentiment regarding COVID19 from Malay Tweets vs Daily Case Numbers of Malaysia
Hey guys! I've been doing some web scraping on Malay tweets regarding COVID19. I decided to do some sentiment analysis using a NLP model (model is publicly available at https://github.com/huseinzol05/malaya). What the model does is taking in a chunk of text and outputs a sentiment score between 0 to 1 (1 being the text has 100% positive sentiment and 0 being the text is 100% negative). The model is not 100% accurate but it is considered to be comparable to other state-of-the-art models.
Twitter-sentiment-analysis
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Sentiment Analysis on football related tweets
You can find more details about the project on my GitHub repo.
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