I've collected around half a million of unmarked comments from a newspage. The newspage has anti-foreign background. Because of that, a relativley  high number of comments contain hate. Do you have an idea how to start creating a dictionary out of the comments? The dictionary shall contain words, which are connected to hate. With the dictionary I want to perform a text analysis for hate, later.Because there is no such dictionary for German language I tried some things. For instance, I checked how often words, which are connected to emotions, appear in the comments. But it turned up, that they seem to be contained as often as any other word. I also thought about a Bag-of-Words and some other things, but I don't know.I'm doing the analysis with Python 3 and R.Kind regards and thanks in advance!
Sentiment Analysis: Creating dictionary from dataset
r;python;dataset;nlp