Welcome to Text Mining for Social Research - Meet your Lecturers
From Bea Alex
The course structure is:
- 2 weeks of pre-intensive: Complete a coding notebook (Python in 2h) and do the readings
- 2-day intensive day (9-5 pm)
- 2 weeks post-intensive: Student project and assignment
In the 2-day intensive, participants will learn how to read in textual files and carry out the processing required for text manipulation and cleaning. The course will also introduce more complex analysis and visualisation techniques required to extract information from large text datasets. It will cover concordances, frequency distributions, lexical dispersions, collocations, part-of-speech tagging, named entity recognition, and network creation and draw on sample datasets relevant to social and political research.
NOTE: the dates mentioned in the video change each year so check the timetable for when the intensive days are this year.