natural-language-processing

Fundamentals of natural language processing with Python

https://github.com/carpentries-incubator/natural-language-processing

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.7%) to scientific vocabulary

Keywords

carpentries-incubator english lesson natural-language-processing nlp pre-alpha python
Last synced: 6 months ago · JSON representation ·

Repository

Fundamentals of natural language processing with Python

Basic Info
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Topics
carpentries-incubator english lesson natural-language-processing nlp pre-alpha python
Created over 2 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

Fundamentals of Natural Language Processing (NLP) in Python

This lesson is about the fundamentals of natural language processing in Python.

Teaching this lesson?

Do you want to teach natural language processing in Python? This material is open-source and freely available. Are you planning on using our material in your teaching? We would love to help you prepare to teach the lesson and receive feedback on how it could be further improved, based on your experience in the workshop.

You can notify us that you plan to teach this lesson by creating an issue in this repository. Also, it would be great if you can update this overview of all workshops taught with this lesson material. This helps us show the impact of developing open-source lessons to our funders.

Target Audience

The lesson is designed specifically with researchers in the Humanities and Social Sciences in mind, but is also applicable to other fields of research. We expect them to know the basics of Python, Git and statistics.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

Do you have an idea on how to contribute to this lesson? Check out the current issues we're working on. If your idea isn't listed, feel free to open a new issue.

Check our Contribution Guide and the Carpentries Guidelines for tips on rendering pages, formatting and understanding the Carpentries template. You can also learn more about developing curriculum content.

Authors and Maintainers

Citation

To cite this lesson, please consult with CITATION.cff. This also holds a list of contributors to the lesson.

Owner

  • Name: carpentries-incubator
  • Login: carpentries-incubator
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: 'Introduction to natural language processing '
message: >-
  Please cite this lesson using the information in this file
  when you refer to it in publications, and/or if you
  re-use, adapt, or expand on the content in your own
  training material.
type: dataset
authors:
  - given-names: Laura
    family-names: Ootes
    email: l.ootes@esciencecenter.nl
    affiliation: Netherlands eScience center
  - given-names: Eva
    family-names: Viviani
    email: e.viviani@esciencecenter.nl
    affiliation: Netherlands eScience center
  - given-names: Angel
    family-names: Daza
    email: j.daza@esciencecenter.nl
    affiliation: Netherlands eScience center
  - given-names: Thijs
    family-names: Vroegh
    email: t.vroegh@esciencecenter.nl
    affiliation: Netherlands eScience center

identifiers:
  - type: url
    value: >-
      https://github.com/esciencecenter-digital-skills/Natural-language-processing
    description: Repository-code
repository-code: >-
  https://github.com/esciencecenter-digital-skills/Natural-language-processing
url: >-
  https://esciencecenter-digital-skills.github.io/Natural-language-processing/
abstract: >+
  This lesson is about the fundamentals of Natural Language
  Processing (NLP) in Python.

keywords:
  - nlp
  - python
license: CC-BY-4.0
commit: first draft release
version: 0.0.1
date-released: '2024-04-29'

GitHub Events

Total
  • Issues event: 1
  • Delete event: 3
  • Issue comment event: 5
  • Push event: 56
  • Pull request event: 7
  • Create event: 2
Last Year
  • Issues event: 1
  • Delete event: 3
  • Issue comment event: 5
  • Push event: 56
  • Pull request event: 7
  • Create event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 269
  • Total Committers: 9
  • Avg Commits per committer: 29.889
  • Development Distribution Score (DDS): 0.554
Past Year
  • Commits: 176
  • Committers: 9
  • Avg Commits per committer: 19.556
  • Development Distribution Score (DDS): 0.483
Top Committers
Name Email Commits
Laura Ootes l****s@e****l 120
Eva Viviani e****i@E****e 71
Eva Viviani e****i@E****l 26
Eva Viviani e****i@m****m 14
Angel Daza j****a@e****l 11
José Angel Daza m****3@g****m 10
N400peanuts n****s@g****m 8
ThijsVroegh t****h@o****m 6
Sven van der Burg s****g@e****l 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 18
  • Total pull requests: 16
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 4
  • Total pull request authors: 5
  • Average comments per issue: 0.83
  • Average comments per pull request: 1.25
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 10
  • Average time to close issues: 2 months
  • Average time to close pull requests: about 2 months
  • Issue authors: 3
  • Pull request authors: 4
  • Average comments per issue: 0.75
  • Average comments per pull request: 1.3
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • laurasootes (2)
  • svenvanderburg (1)
Pull Request Authors
  • n400peanuts (5)
  • carpentries-bot (4)
  • laurasootes (4)
  • svenvanderburg (1)
  • angel-daza (1)
Top Labels
Issue Labels
documentation (1)
Pull Request Labels
type: template and tools (4) enhancement (3) priority (1)

Dependencies

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