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Introduction to Text Mining

Course, bachelor, winter 2020, L.079.05501

General

Lectures

  • Instructor. Henning Wachsmuth
  • Location. Online
  • Time. Thursday, 2pm – 5pm, c.t. (latest video upload, audio live chat)
  • First date. October 29, 2020
  • Last date. February 11, 2021

Tutorials

  • Instructors. Milad Alshomary, Maximilian Spliethöver
  • Location. Online
  • Time. Wednesday, 2pm – 4pm, c.t. (latest video upload, audio live chat)
  • First date. November 4, 2020
  • Last date. February 10, 2021

Announcements

  • February 8, 2021. The first exams will take place on February 23.
  • February 8, 2021. The slides of lecture part IX are available here.
  • More information is available on the PANDA page of the course.

Description

This course teaches students all major skills needed to approach typical tasks in the analysis of natural language text. Starting from fundamentals of linguistics and statistics, the lecture gives an overview of several text analyses and covers a selection of them in detail. Both rule-based and statistical techniques are discussed, among the latter standard approaches from machine learning.

The students learn both theoretically and practically to design, implement, and evaluate text analysis algorithms for given tasks. Besides the topical content, the lecture aims to educate students in how to conduct scientific experiments and how to employ large datasets in experiments.

Lectures

The course will cover lectures on the following topics. The slides from each lecture will be put here, usually soon after the respective lecture has taken place. Slides marked with an asterisk (*) are not relevant for the exam. Notice that there may be updates of the slides (marked as such), so check from time to time.

Slides with meta-information:

The University for the Information Society