Transfer Learning in Unsupervised text processing
Today we are facing enormous amount of unstructured textual data. Given a text processing problem, how to start? What models to build language model with? Can models trained in similar domains be exploited. These are some trailing questions.
1. When and how to use Transfer Learning- new vocabulary? 2. Challenges in Text processing and Transfer Learning 3. Effectively method selection for transfer learning 4. Applications 5. How to validate your model?
Presentation on Aspect detection in unsupervised domain using Transfer Learning from structure prediction.
Outline/Structure of the Tutorial
Word Embedding, text representation
Different problems in unstructured text
Transfer Learning - When, how and what to do.
Problem Definition- Unsupervised Aspect extraction
Validation and comparison
How to train model for unstructured text for Text processing
Update embedding models
Think about reusing and retraining models from other domains
Industry or academicians
Prerequisites for Attendees
Knows basic of Neural Networks and Language models