Part-of-Speech tagging and detection of social media texts

This thesis contributes to sequence labeling tasks in the field of Natural Language Processing by introducing novel concepts, models and algorithms for Part-of-Speech tagging, social media text detection and Web page cleaning. First, the task of social media text classification in Web pages is addressed, where Web text segments are classified based on a high-dimensional feature vector. Moreover, a Part-of-Speech tagger for highly non-standardized social media texts is developed.