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PhD. Topics

Institute of Informatics

Topic
Sentiment analysis in text
PhD. program
Informatics / Applied Informatics
Name of the supervisor
Ing. Giang Nguyen, PhD.
Contact:
Receiving school
Faculty of Mathematics, Physics and Informatics, Comenius Uni in Bratislava
Annotation
Receiving schools (another possibilities):
- Faculty of Informatics and Information Technologies of STU in Bratislava (program: Applied Informatics)
- Faculty of Electrical Engineering and Informatics, Technical Uni of Košice (FEI TUKE, program: Informatics)

  The thesis topic is focused on methods for sentiment analysis in text resources, which is a research subfield of natural language processing. It is an opinion mining, most often from product reviews, microblogs or from news articles in order to get marketing information, or overview of the opinion spectrum respectively in contexts. The thesis will continue from the state-of-the-art, it will design and validate appropriate methods applicable also to Slovak language. However, the topic is not limited to one specific language but may also explore methods suitable for other languages or among languages. The topic is closely related to recommender systems, which offer a variety of modern approaches to be taken such as natural language processing, deep learning as well as scalable data processing like Apache Spark.
more info
year 2020/2021 (the updated version for 2021/2022 will be published in March 2021)