Natural Language Processing (NLP) research has traditionally been predominantly focused
on English, driven by the availability of resources, the size of the research community, and …

Sentiment analysis and opinion mining are essential tasks with many prominent application
areas, eg, when researching popular opinions on products or brands. Sentiments expressed …

The news media plays a vital role in influencing public perceptions about topics, issues and
crises. They also act as important intermediaries between organizations and public …

We propose to use affect as a proxy for mood in literary texts. In this study, we explore the
differences in computationally detecting tone versus detecting mood. Methodologically we …

This paper is a methodological exploration of the origin of mood in early modern and
modern Finnish literary texts using computational methods. We discuss the pre-processing …

This paper discusses building lightweight ontologies for faceted search user interfaces with
Named Entity Recognition (NER) from textual data. This is studied in the context of building …

Measuring the semantic similarity of different texts has many important applications in Digital
Humanities research such as information retrieval, document clustering and text …

Natural language processing (NLP) studies the ways of automatic analysis and extraction of
information from natural language data. It has applications everywhere from text generation …

Abstract In 1959, Richard Feynman gave a famous lecture titled There is Plenty of Room at
the Bottom. This lecture is considered the birth of nanotechnology, which has become one of …

This dissertation develops language technology tools for low-resource languages. It is
important to ensure that low-resource languages are not left behind in the rapidly evolving …