Abhishek Nandy
Kolkata, WB
Jalpaiguri, West Bengal
This is a fun project where I fine-tuned a BERT model for analyzing Intel® OneAPI Public Reviews. The model comes with a twist, that it doesn't have any language barrier. The input sentiment could be of almost (any) language. ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence
Groups
Artificial Intelligence India,
DeepLearning
Intel Technologies
oneAPI,
Intel NUC,
Intel Opt ML/DL Framework,
Intel Python,
DPC++
Sentiment Extraction is one of the widely adopted use-cases in the Industry. It's a very good starting point for NLP research enthusiasts.
You'll learn how to do the required text preprocessing (special tokens, padding, and attention masks) and build a Sentiment Classifier using the amazing Transformers library by Hugging Face!
Fine Tuned a BERT Sentiment Model using Intel OneAPI ToolKit and PyTorch. The training was done both on a NUC and Intel DevCloud. The model is trained on the IMDB Dataset of 50k reviews. The model accuracy came to 96.3% and the inference shows some great results.
This will give you a great understanding of Intel's OneAPI Advanced Analytics toolkit and how to leverage the power of Intel DevCloud.
Dataset- https://rb.gy/mri6k4
Following are the Steps -