NLP models are used widely in all kinds of applications: digital assistants, search engines, smart keyboards, personalized ads in social networks, etc. Furthermore, companies like Google, Microsoft, and Amazon provide ready-to-use APIs with NLP tasks.
However, you may have reasons to replace your third party service with your own in-house built NLP solution. Regardless of the reasons, you need to go through the entire workflow of building it:
- Data acquirement
- Data cleaning and transformation
- Toolkit and model building
- Model evaluation and inference
During the talk, we’ll cover some tips and tricks you want in your belt to make your life easier when building a model, especially when you won’t do it just once.