I have some familiarity with R, and I am just starting with python to get into NLP, with a specific interest in Semantic Analysis and Named Entity Recognition (i am currently learning spaCy). I have a background in Humanities and very little computational knowledge.
With this in mind, I am interested in exploring sentiments in German literature of a specific period, in relation to the use and references to geographical places and natural elements of the specific area and time this literature was produced.
I thought I could use dictionaries with tagged places/natural elements in combination with dictionaries for sentiments, and proceed in R with the text mining of my corpus, by analysing how emotions are expressed in proximity (or in relation to) the entities I am interested in.
Thus two questions: do such NER dictionaries exist for geographical/natural elements, and do they exist in German? Where could I find them?
I would be very happy to read any sort of suggestion. Thanks.
Stanford coreNLP provides good ner tagger. You can find ner models for German also. See their wbsite https://nlp.stanford.edu/software/CRF-NER.html. Check how the predictions are coming.