harshgeek4coder/Handling_Textual_Data_Augmentations_NLP_MLSA

This Repository Contains resources for the event organized in Microsoft Learn Student Ambassadors

Handling_Textual_Data_Augmentations_NLP_MLSA

This Repository Contains resources for the event organized in Microsoft Learn Student Ambassadors Event

Event Details :

This Workshop would help you explore about performing textual augmentations for NLP. The workshop was led by Microsoft Learn Student Ambassador, Harsh Sharma(Alpha Student Ambassador). During this one-hour workshop, you will learn about textual data augmentation, including how to perform data augmentation for NLP, current trends, state-of-the-art architectures, and packages that one could use to generate augmented data. There will be a hands-on session with Q&A.

• Event Organizer : Harsh Sharma - Microsoft Learn Student Ambassador(Alpha Level)
• Event Date : 22nd September 2021, Wednesday
• Time : 5:30 PM - 6:30 PM IST ( IST - India Standard Time )
• Platform : Teams Live Event

Microsoft Technologies used and showcased :

• VScode
• Github
• Teams

Event Recording Link : Link

Demo of NLPAug Package for Handling Textual Augmentations in NLP:

To run the streamlit application:

1. Clone this repository
2. In the root directory, run this command in CLI : streamlit run main.py

Acknowledgements

I would highly encourage to check out the following resources/packages mentioned below, which was referred for this specific event :

• BackTranslation - https://pypi.org/project/BackTranslation/

• Easy Data Augmentation (EDA) -

  1. https://github.com/jasonwei20/eda_nlp
  2. https://arxiv.org/abs/1901.11196

• Albumenations -

  1. https://github.com/albumentations-team/albumentations
  2. https://albumentations.ai/docs/

• NLPAug - https://github.com/makcedward/nlpaug