###### Do the learning curves prove the topics classifier is trained correctly - without overfitting? Ask the student to explain what the term "overfitting" means and how he avoided this phenomenon.
> Additionally, you can look for external resources. For example, Wikipedia has a good page on "overfitting".
##### Ask the student to train and store the topic classifier model in a file named `topic_classifier.pkl`.
##### Analyse the output: relevance of the topic(s) matched, relevance of the sentiment, relevance of the scandal detected (if detected on the three articles) and relevance of the company(ies) matched.
