%0 Generic %1 margin:1.25cm %A Pielström, Steffen %A Pernes, Stefan %A Reimers, Nils %A Bock, Sina %A Dürholt, Philip %A Du, Keli %A Huber, Michael %A Simmler, Severin %A Hagen, Thora %D 2015 %J DARIAH-DE Working Papers %K DKPro Java NLP Python Stylometry TopicModeling myown quantitativemethods stylometry %T NLP Based Analysis of Literary Texts %U http://dariah-de.github.io/DARIAH-DKPro-Wrapper/tutorial.html %X This tutorial describes how to analyze texts, by first generating linguistic annotations with a simple, single java program that bundles the abilities of several state-of-the-art NLP (Natural Language Processing) tools, and then accessing the annotations provided in a standardized output format for complex empirical analyses of text style and content in a scripting language. The workflows are based on a tool pipeline packaged from the DKPro framework for natural language processing into a single file, thus providing convenient access to many important DKPro features even for users with virtually no work experience with the framework. The example recipes further below describe how to use the pipeline’s output for advanced analytic procedures.

@electronic{margin:1.25cm, abstract = {This tutorial describes how to analyze texts, by first generating linguistic annotations with a simple, single java program that bundles the abilities of several state-of-the-art NLP (Natural Language Processing) tools, and then accessing the annotations provided in a standardized output format for complex empirical analyses of text style and content in a scripting language. The workflows are based on a tool pipeline packaged from the DKPro framework for natural language processing into a single file, thus providing convenient access to many important DKPro features even for users with virtually no work experience with the framework. The example recipes further below describe how to use the pipeline’s output for advanced analytic procedures.}, added-at = {2021-07-06T17:16:32.000+0200}, author = {Pielström, Steffen and Pernes, Stefan and Reimers, Nils and Bock, Sina and Dürholt, Philip and Du, Keli and Huber, Michael and Simmler, Severin and Hagen, Thora}, biburl = {https://www.bibsonomy.org/bibtex/263131df848028f60ec54cadc68591801/sbock}, description = {NLP Based Analysis of Literary Texts (M 5.2.3)}, interhash = {2a9e6f3cb9707def83b584d997863d7f}, intrahash = {63131df848028f60ec54cadc68591801}, journal = {DARIAH-DE Working Papers}, keywords = {DKPro Java NLP Python Stylometry TopicModeling myown quantitativemethods stylometry}, language = {en}, timestamp = {2021-07-11T12:08:12.000+0200}, title = {NLP Based Analysis of Literary Texts}, url = {http://dariah-de.github.io/DARIAH-DKPro-Wrapper/tutorial.html}, year = 2015 }