Natural Language Processing Reddit Topic Modeling Project

Table of contents

• Project info
• Questions
• Why Riddet Topic Modeling?
• Tools
• Screenshots
• Status
• Contact
• License
• Contributing

Project info

NLP project(T5): in order to work on NLP topic modeling we used Reddit to take posts, and do the topic modelling for each subreddit.

Questions

• To do NLP topic modeling, it is a critical task to work on. To do so, this job must follow these important questions:

            * What are the most subreddit that needed to be modelled as specification?
            * Does the model perform well on other samples?
            * What are the best posts in the topic modeling?
  

Why Riddet Toping Modeling?

• To organize, understand and summarize large collections of textual information.

• Make it easy for the Reddit community to use unsupervised topic modeling and advance in technology as people discuss in text format.

Tools

Language: Python3:

• Data manipulation: NumPy and Pandas
• Modeling: Sklearn
• Visualization: matlibplot, plotly and seaborn
• NLP:PyCaret NLP, gensim, nltk,scipy
• Others: pyLDAvis, pylab,pickle, and regex

Screenshots

Status

Project is: Done

Contact

NLP topic modeling - feel free to contact us!

License

• You can check out the full license here

This project is licensed under the terms of the MIT license.

Contributing

1. Fork it (https://github.com/A-safarji/NLP-topic-modeling-project.git)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

Contributors

---

Team Memebers

• Abdultawwab Safarji
• Khalid Saleh
• Najla Mohammed