NLP-CNN-Subreddit-Sorter-Heroku-App
newsemble
| NLP-CNN-Subreddit-Sorter-Heroku-App | newsemble | |
|---|---|---|
| 4 | 12 | |
| 1 | 44 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| - | - |
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NLP-CNN-Subreddit-Sorter-Heroku-App
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then.
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github.
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I created an app (CNNet, URL in description) that tells you what subreddit to post to based on your title, and I used r/Python, r/learnmachinelearning, r/compsci and r/datascience. This app could be expanded to include other technical subreddits and serve as a way to decide where to crosspost.
This app could be expanded to include other similar technical subreddits and serve as a way to decide where to crosspost, or for moderators to auto flag posts that are off topic. Here is the repo: https://github.com/djthorne333/NLP-CNN-Subreddit-Sorter-Application, and link to the app: https://datascience-reddit-post-sorter.herokuapp.com/. I think I thought of a way to extract from the dataset the optimal amount of filters to use for each filter size for the CNN. I have some typos to fix right now it seems, but it's generally done. Please let me know what you think, and give me any advice, as I am trying to break into data science.
newsemble
- [Project] Newsemble: An API to fetch current news data
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Newsemble: An API to fetch current news data
I read through the documentation and tinkered around with it -- great work! One recommendation I would make, particularly if you're hoping that this will be useful long-term for NLP, is not to delete the previously scraped data. For instance, http://www.newsemble.ml/news only contains 129 results, which is nowhere near comprehensive enough to ensure any kind of statistically significant NLP.
What are some alternatives?
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