Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Keyword Extraction Feature #1504

Merged
merged 4 commits into from
Oct 20, 2024
Merged

Keyword Extraction Feature #1504

merged 4 commits into from
Oct 20, 2024

Conversation

A-Akhil
Copy link
Contributor

@A-Akhil A-Akhil commented Oct 20, 2024

Description

This feature automatically identifies and extracts key terms or phrases from a given text or document. The extracted keywords represent the most important or frequently mentioned concepts, helping to summarize or categorize the content efficiently.

Fixes #1334

Type of change

  • Added a new machine learning frameworks, libraries or software.
  • Documentation update

Checklist:

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings

Copy link

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

@A-Akhil
Copy link
Contributor Author

A-Akhil commented Oct 20, 2024

@sanjay-kv Kindly go though this PR and let me know if there is any changes to be done

@sanjay-kv sanjay-kv merged commit 923ac5a into recodehive:main Oct 20, 2024
2 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

💡[Feature]: Keyword Extraction Feature
2 participants