NayesDog

RSS/Web news reader with Naive Bayes powered recommendations

Dependencies:

feedparser for RSS beautifulsoup4 for web scraping

To install latest release (pip of python2.7, pip2 on my system):

pip2 install nayesdog

To install development version:

pip2 install git+https://github.com/MLdog/nayesdog

Default config files are stored in ~/.nayesdog
- config.py: configuration file. Modify this file to include new RSS feeds or web scrap news, or remove the existing ones.
- tables.py.gz: Trained model, containing the word counts that are used by the Naive Bayes Classifier. You can copy your model, use it somewhere else and share it.
- .previous_session: A hidden file that stores the state of your session. If you have problems, try to erase this file.

By running nayesdog with --config option you can have different nayesdogs trained for different purposes and different RSS feeds.

You can import the nayesdog library into python2.7 projects with import nayesdog

Each time nayesdog is run, preprocess_html loads all urls even they were previously loaded. This unnecessary work and resulting delays should be avoided.
Make dropdown menu to lie above "Toggle images" and "Train" buttons.
Add UI toggle for showing titles only / full content / summarized content
Save the last feed open and the last folder open
Upload last version Pypi
Parse HTML (One more dependency)
Summarization: https://github.com/neopunisher/Open-Text-Summarizer
Topic modeling and word search according to topic distance and likability
Visual search of documents ordered by topics
Test and spot bugs
replace shelves for cross-compatibility (?)
being able to enter feed names that contain spaces!
Move "toggle images" function to config.py instead of having button?
Should we remove deleted article also from WordCount dict?