Software

 

Application: eHumanities Desktop
Description: The eHumanities Desktop is a web-based desktop environment which enables researchers in the humanities to work on their resources online, written in Java, ExtJs-Javascript, JSP ...
  • It builds a bridge between both established and cutting edge linguistic methods and an intuitive user interface.
  • There is no need to install an application or use a specific operating system
  • Just go online and use your web browser to organize and process your documents.

eHumanities Desktop

 
Application: Wikipedia OpenTopicModel
Description: Open Topic Model (OTM) is a text analysis tool written in C++ (Qt Development Frameworks) and ported to Java and Apache Lucene. It considers the problem of topic identification by means of Open Topic Models. That is, we are not heading towards a clustering of a document collection but labelling individual documents with the best fitting topic names obtained from a social ontology. The current OTM implementation utilizes over 55,000 different Wikipedia categories as topic labels and combines both keyword extraction as a type of text representation and categorization by means of topic labelling.

OpenTopicModel

 
Application: Prepro2010 - Text Preprocessing Tool
Description: Prepro2010 is a text/html preprocessing tool written in C++ (Qt Development Frameworks) and can be used to do tasks like:
  • Tokenization
  • Sentence Boundary Detection
  • Lemmatization
  • Stemming
  • Part-of-Speech-Tagging
  • Named Entity Recognition
  • TEI-P5-Conversion
  • Document Structure Analysis
  • Language Detection

Prepro2010

 
Application: Text Analysis Toolbox
Description: XML-Interface to various applications:
  • Wiki Categorizer
  • Wiki DocSim
  • Wiki Relatedness Score
  • Wiki Compound
  • Wiki-Hood
  • Wiki-Graph-Path
  • Sentiment Analysis
  • OAI-Classifier
  • TreeTagger-Wrapper
  • Stanford Dependencies Parser
  • Lexical Chainer

WikiCat API

 
Application: German Polarity Clues
Description: A Lexical Resource for German Sentiment Analysis:
  • Feel free to use/download the GermanPolarityClues dictionary
  • A new publicly available lexical resource for sentiment analysis for the German language
  • The resource offers a number of 10.141 polarity features, associated to three numerical polarity scores, determining the positive, negative and neutral direction of specific term features

German Polarity Clues

 

 

 

Last Update: 04.07.2010
Template by Boris Kaiser