Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Learnlearningplatform/Topic-Modelling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

History

4 Commits

Repository files navigation

Topic-Modelling-using-Latent Dirichlet Allocation (LDA)

Topic modeling is the process of identifying topics in a set of documents.

This can be useful for search engines, customer service automation, and any other instance where knowing the topics of documents is important.

I used Latent Dirichlet Allocation (LDA) Algorithm.

Dataset (optional)

The dataset is available as a single csv file.

Technologies Used

1.NLTK
2.LDA
3.Python

Author

Rahul Kumar Patro

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

AltStyle によって変換されたページ (->オリジナル) /