title: German Stemming for Sentiment Analysis in Python NLTK
body: <p>I've recently begun working on a sentiment analysis project on German texts and I'm planning on using a stemmer to improve the results.</p>
  
  <p>NLTK comes with a German Snowball Stemmer and I've already tried to use it, but I'm unsure about the results. Maybe it should be this way, but as a computer scientist and not a linguist, I have a problem with inflected verb forms stemmed to a different stem.</p>
  
  <p>Take the word "suchen" (to search), which is stemmed to "such" for 1st person singular but to "sucht" for 3rd person singular. </p>
  
  <p>I know there is also lemmatization, but no working German lemmatizer is integrated into NLTK as far as I know. There is GermaNet, but their NLTK integration seems to have been aborted.</p>
  
  <p>Getting to the point: I would like inflected verb forms to be stemmed to the same stem, at the very least for regular verbs within the same tense. If this is not a useful requirement for my goal, please tell me why. If it is, do you know of any additional resources to use which can help me achieve this goal?</p>
  
  <p>Edit: I forgot to mention, any software should be free to use for educational and research purposes.</p>