Stanford Core NLP Framework contains a well-trained model for sentiment analysis in English. Unfortunately, the Stanford Framework does not include a trained model in German. Who can make such a model available in German?
Klemens, could you explain exacter what you mean? What is a well--trained model for sentiment analysis in English and where I can find it? What corpus did Stanford use for training etc?
Alexander,
with the Stanford Core NLP framework, sentiment analysis can be carried out. To determine if a sentiment is positive or negative, the Stanford Core NLP Framework uses domain-specific sentiment lexicons induced from unlabelded corpora (see William L Hamilton, Kevin Clark, Jure Leskovec and Dan Jurafsky. 2016: Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora). Unfortunately only Corpora in English language are used for the lexicons. Hence my question: Are there already sentiment lexicons that have been "trained" with German corpora?
I didn't work with German lexicons since my PhD was in opinion mining and lexical affect sensing in English Thesis Opinion Mining and Lexical Affect Sensing
. But I am confident, you might be interested in related resources:- German sentiment lexicons can be built on the basis of the NLTK corpora https://www.nltk.org/book/ch02.html
- German Wordnet can be used to build a sentiment lexicon https://mailman.uib.no/public/corpora/2018-April/028257.html
- There is also the German LIWC that contains sentiment words and can be used for your purposes https://s3-us-west-2.amazonaws.com/downloads.liwc.net/LIWC2015_OperatorManual.pdf
Anyhow, in most cases you must consider translating from English in German, for example, if you want to use Jurafsky's approach in German.
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