Objectives
The student will:
- apply and further expand the understanding of deep neural network models gained in the Deep Learning in Human Language Technology course
- recognize and understand the most important text analysis tasks typically faced in research and data science industry
- understand what methods and datasets apply to these tasks, and their limitations
- be able to gather relevant data and critically assess its quality as well as the quality of the method output
- be able to independently implement basic text analysis tasks using modern neural network models and Python libraries
The student will:
- apply and further expand the understanding of deep neural network models gained in the Deep Learning in Human Language Technology course
- recognize and understand the most important text analysis tasks typically faced in research and data science industry
- understand what methods and datasets apply to these tasks, and their limitations
- be able to gather relevant data and critically assess its quality as well as the quality of the method output
- be able to independently implement basic text analysis tasks using modern neural network models and Python libraries
- Opettaja
Filip Ginter