https://github.com/pncnmnp/bookmark-manager

NLP based approach to automatically categorize your bookmarks!
https://github.com/pncnmnp/bookmark-manager

bookmark-manager multinomial-naive-bayes

Last synced: 3 months ago
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NLP based approach to automatically categorize your bookmarks!

• Host: GitHub
• URL: https://github.com/pncnmnp/bookmark-manager
• Owner: pncnmnp
• License: mit
• Created: 2019-08-18T11:09:43.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-08-28T03:08:13.000Z (about 3 years ago)
• Last Synced: 2023-03-03T13:05:47.254Z (over 2 years ago)
• Topics: bookmark-manager, multinomial-naive-bayes
• Language: Python
• Size: 642 KB
• Stars: 21
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Bookmark-Manager

NLP based approach to automatically categorize your bookmarks!

## In-Depth

To understand this project in-depth, refer to my technical paper: [Bookmark Classification using Multinomial Naive Bayes Model](https://pncnmnp.github.io/blogs/bookmark-classification.pdf)

## How does this work ?

* Enter your bookmarks in **`./links.json`** file

* To run the code, run `categorize.py`

* `scrape_filter_link.py` contains the classes used to scrape information from each URL

## What bookmarks is it categorizing ?

It can categorize a variety of bookmarks. Currently it supports all the categories mentioned in the `./corpus/` directory.

## Will I have to enter my bookmark links manually ?

To a certain extent! For example: **Firefox** allows users to backup the bookmarks in a JSON format. You can extract the `uri` from that JSON file and feed it into `./links.json`.


To backup your bookmarks in **Firefox**, press Ctrl+Shift+O, go to `Import and Backup` and then to `Backup`.


**Chrome** users can check this post on [superuser](https://superuser.com/questions/325394/how-to-export-my-bookmarks-via-cli-in-google-chrome/1349857).

## Will the code create a directory structure with my bookmarks ?

**No, the mapping of a URL with it's appropriate category is stored in a JSON file: `result.json`, in a *dict* format**.


The keys are your bookmarks with values being their categories.

## Can I see a demo ?

Sure, here's one (The highlighted part is the one stored in `result.json`):

![Bookmark-Manager output](https://i.imgur.com/ZcIAyvy.png)

## Can I improve the corpus, by adding more categories in `./corpus/` directory ?

**Yes, you can! The code is fairly scalable.**


To add your own corpuses: 

* Create a directory with a *unique* category name in `./corpus/`

* Inside the `./corpus/your-category-dir` add your corpus text in a **JSON** file with the format: `{"text": "_your_corpus_text_here_"}`

(**NOTE:** You can add multiple JSON files in a category directory)


When you run the code, you will find that the `categorize.py` will take the new/modified corpuses into consideration.

## License

The code is under MIT License