Software

 

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: 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