#machova

Good sunny morning dear followers,

let me introduce one of the last core researchers of our center, assoc. Kristina Machova. Please enjoy her answer on traditional self-introduction questions.

Q: Why are you at academia?

A: I am happy to be at academia. There are two main job types: teaching and researching. Both of them are interesting for me. I like to teach something after I have learned and comprehended it. I like to search an appropriate way how to describe knowledge to be understandable for students. I like to compose examples and tasks for students. And I like students because of their youth, enthusiasm, intelligence, free thinking and sense of humour. With regard to research, I love the process of problem formulation and finding methods for its solution or designing new approaches - all in the discussion with my students and my colleagues from our department. I love also to join conferences and to discuss with foreign people of the same professional interests like me but with different thinking and different opinions on the discussed problems.

 Q: What is your domain and why are you interested in that domain.

A: I am interested in the following domains, ordered from the most actual to the very first in my professional career: mining within conversational content – the dictionary approach and the machine learning approach to the sentiment analysis with focus on the opinion and emotion classification for an application in robotics, semantic web technologies and intelligent searching of the Internet, text document processing in the information retrieval using classification and clustering machine learning methods, theoretical and practical aspects of the machine learning including bagging and boosting methods, knowledge-based systems and artificial intelligence. Why? After my joining the Department of Cybernetics and Artificial Intelligence, I was attracted mainly by artificial intelligence because I was fascinated by possibilities of computers to simulate intelligent properties of humans. Within the field of artificial intelligence, I concentrated my attention on knowledge-based systems, which use algorithms for the automatic generation of knowledge bases. It has me led to machine learning algorithms. I love to work with these clever algorithms, to modify, design or select them for some real problems. And one of such problems is emotion and opinion identification within the social media conversational content – my actual domain.