Hear from our students: Thomas Kober
Thomas said: “I am working on a Language Engineering project which aims to automatically classify tweets into different categories.
"For example, relevant to a certain topic, not relevant; positive towards a certain topic, negative; etc.
"This is achieved through an Active Learning process, where a human annotator guides a machine learning algorithm on how to classify a set tweets.
The internship gives me lots of insights on how different parts of my degree fit together and how I can apply the methodologies I have learnt and skills I have gained in actual research projects.”Thomas Kober
Computer Science and Artificial Intelligence BSc
"The current machine learning algorithm is a Naive Bayes classifier and my tasks were to a) improve the classification performance (accuracy) of the Naive Bayes classifier by incorporating wordlists of ie. positive and negative words and b) implement and evaluate the performance of a Maximum Entropy classifier on the same tasks.
"I am enjoying my JRA in the lab a lot, I'm getting a lot of useful feedback on my work and the internship gives me lots of insights on how different parts of my degree fit together and how I can apply the methodologies I have learnt and skills I have gained in actual research projects.”