Evaluation of Text Segmentation Algorithms

Thesis Type Bachelor
Thesis Status
Finished
Student Christoph Kirchner
Init
Final
Start
Thesis Supervisor
Contact
Research Field

The task of text segmentation is to devide a document, which covers more than one topic, into its di􏰄erent topics. Since the 1990s the 􏰅field of Natural Language Processing has been improved and di􏰄fferent approaches emerged. This paper summarizes and compares six of these algorithms and presents an overview of the current state of the art of text segmentation algorithms.