Part 1: https://medium.com/p/49d94543f73d Part 2: https://medium.com/p/30539111b23a
Takes a URL of a news article (mainly compatible with Medium and some other sites) as an input and outputs the follow:
- An extractive summary (Abstractive coming soon)
- Original word count
- Summarized word count
- Percent reduction
- Reading time reduction
- A prediction for what subject the article correlates to (as of now only chooses between Science, Technology and Life)
- Download all files and keep in one folder
- Run textsummarizer.py in your console or any Python Interpreter and follow the prompts.
- You can use the database_builder_fixed.py to create your own database of articles (the current one is very small). It will automatically write to subject_freq.csv
- The abstractive text summarizer is currently under development and isn't in the code at the moment.
- New updates are always coming out
- If you have any questions you can email me at vedantgupta523@gmail.com