https://github.com/akosbalasko/obsidian-autotagger-plugin

This plugin offers smart tags for notes by performing Named Entity Recognition (NER) on the content
https://github.com/akosbalasko/obsidian-autotagger-plugin

natural-language-processing nlp obsidian-md obsidian-plugin

Last synced: 3 months ago
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This plugin offers smart tags for notes by performing Named Entity Recognition (NER) on the content

• Host: GitHub
• URL: https://github.com/akosbalasko/obsidian-autotagger-plugin
• Owner: akosbalasko
• License: mit
• Created: 2021-06-14T21:07:10.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-24T06:35:24.000Z (over 3 years ago)
• Last Synced: 2024-10-04T12:45:07.241Z (4 months ago)
• Topics: natural-language-processing, nlp, obsidian-md, obsidian-plugin
• Language: TypeScript
• Homepage:
• Size: 39.1 KB
• Stars: 29
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• project-awesome - akosbalasko/obsidian-autotagger-plugin - This plugin offers smart tags for notes by performing Named Entity Recognition (NER) on the content (TypeScript)
• jimsghstars - akosbalasko/obsidian-autotagger-plugin - This plugin offers smart tags for notes by performing Named Entity Recognition (NER) on the content (TypeScript)

README

        
# obsidian-autotagger-plugin

This plugin offers smart tags for notes by performing Named Entity Recognition (NER) on the their content.

The analysis is done using Compromise, a fantastic library of Natural Language Processing (NLP) written in Typescript.

## Options

The plugin can be configured to recognizes the followings:

- Persons

- Organizations

- Places

- AtMentions (@ signs)

- Acronyms

## Install

Via Obsidian's Catalog.

## Usage

The plugin provides a view which will contain the up-to-date list of tags of the opened active note.

## Roadmap:

- [ ] Group results by recognition type (places, people etc)

- [ ] Offer tags using Compromise (hashtags, emails etc)

- [ ] Offer more tags by grammar analysis

Any feature requests are warmly welcome!