Topic modelling and sentiment analysis of the political publications between 2015-2018 related to Migration
Data sources:
- Der Spiegel archive articles from the last 3 years
- Statistisches Bundesamt
- Bundesamt für Migration und Flüchtlinge
- Statista
The goal is to extract publications related to Migration between these years and analyse how media has been treating the topic:
- Was there any change on the vocabulary used over the last years regarding sentiment?
- Was there any change on the topics addressed overtime-related to Migration?
- Is NLP a great tool to evaluate media especially concerning practical topics like migration?
In the current repository you find:
- Topic related articles extraction
- TF-IDF grid search for parameter optimisation with customising metrics for the optimisation
- Topic modelling (7 subtopics extracted) and its density over the last years blog post
- Sentiment analysis of migration-related articles over the last years blog post
