SSHOC Workshop: Using Corpora for Implementing Validation. Workflows that combine quantity and quality
In this workshop, we introduce the polmineR package and explore three basic scenarios using it:

1. Validating the results obtained from dictionary-based sentiment analysis and classification,
2. Validating the results of LDA topic modelling,
3. Giving substantial meaning to the results of cooccurrence analyses.

We will discuss whether to potentially combine the scenarios with semi-supervised learning, and how to leverage of machine learning (MI) approaches. As the dataset and tool combination, we will use the polmineR R package in combination with a multilingual corpus of the UN General Assembly.

Up-to-date details about the workshop can be found at
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