This workshop will discuss keyword extraction, a critical Natural Language Processing (NLP) task. Search engines use keyword extraction, which is also applied in text categorization and clustering.
The workshop is divided into two parts (two Jupyter notebooks):
In the first part, using the NIPS Papers dataset as an example, we’ll explore algorithms such as:
In the second part, we’ll build a Flask web application that allows users to upload text in PDF, TXT, or DOC formats or submit it through an input form. The application will then apply keyBert to the text and return the results to the user.
Key Takeaways: