Objectives
The student will:
- 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 natural language procesing and deep learning Python libraries
- gain understanding of the opportunities and limitations of present-day natural language processing as applied to mining information from large collections of text
The student will:
- 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 natural language procesing and deep learning Python libraries
- gain understanding of the opportunities and limitations of present-day natural language processing as applied to mining information from large collections of text
- Peppi-Teacher: Filip Ginter
- Peppi-Teacher: Sampo Pyysalo