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.
