https://www.linguisticsweb.org/ 2026-04-26T12:16:25+00:00 https://www.linguisticsweb.org/ https://www.linguisticsweb.org/lib/tpl/starter/images/favicon.ico text/html 2020-10-01T12:23:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:processing_scenarios:analysing_faust&rev=1601547814&do=diff Korpuslinguistische Analysen von Goethes Faust Dieses Tutorial dient der Implementierung examplarischer Forschungsfragen im Kontext der Digitalen Literaturwissenschaft. Die Verfahren sind aus der Corpus- und Computerlinguistik abgeleitet und lassen sich entsprechend auch auf andere, vergleichbare Untersuchungen anwenden. text/html 2020-10-01T12:23:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:processing_scenarios:analysis_of_the_obama_speeches_corpus&rev=1601547814&do=diff ObamaSpeechesCorpus: Approaches to Building and Processing a Corpus of Political Speeches A student project by students of the Master of Arts Linguistic and Literary Computing We submitted this student project to a workshop at the annual meeting of the text/html 2020-10-01T12:23:34+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:processing_scenarios:conll2003&rev=1601547814&do=diff CoNLL-2003 Shared Task: Named Entity Recognition Introduction The CoNLL 2003 Shared Task was one in a series of shared tasks on different aspects of natural language processing. Creating the CoNLL training and test files To get started, go to the tutorial CoNLL-2003 Shared Task: Named Entity Recognition here in linguisticsweb.org and follow the steps described for creating the CoNLL training and test files. text/html 2020-10-01T12:23:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:processing_scenarios:named_entity_recognition&rev=1601547815&do=diff Named Entity Recognition and Classification: A Machine Learning Approach This processing scenario shows how to do named entity recognition with machine learning approaches using the software Weka. An introduction to the basics of Weka can be found in the text/html 2020-10-01T12:23:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://www.linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:processing_scenarios:opinion_mining&rev=1601547815&do=diff Opinion Mining Opinion Mining is a subdiscipline of computational linguistics and data mining. It deals with the automatic extraction and classification of opinions. This task is also known as sentiment analysis or Appraisal Theory. In opinion mining the used methods might be more automatically as in sentiment analysis. In sentiment analysis the method to identify subjectivity is probably more based on features gained by natural language processing techniques. The appraisal theory is a linguist…