Socio-Humanistic Informatics (1v 1p -- 3 ECTS), OMEGA
Professor Sanja Kišiček, Ph.D.
Course Description
Socio-humanistic informatics includes the application of information and communication
technologies in the social sciences and humanities, as well as areas of text and language processing
and knowledge representation. Text processing includes different ways of creation and manipulation
of text. Natural language processing describes human language from a computational perspective.
Knowledge representation is concerned with ways of representing information in order to derive
new information based on it. Course topics include the following: using styles and templates for text
formatting, word frequency list and text indexing, automatic extracts generation, regular expressions
for extracting collocations, statistical text analysis, semantic Web documents.
Course objectives
Students need to understand the basic principles of text processing and the semantic Web
documents. They need to understand the concepts of text formatting such as styles and templates,
and the basic notions of text and language processing such as token, type, lemma, index terms,
distribution of words, collocations, abstract, extract, as well as basics characteristics of the semantic
Web documents. Practical work includes weekly assignments during the semester. Students will learn
how to apply the theoretical knowledge through a series of project-oriented and interrelated tasks
that include creating and applying styles in MS Word document, creation of templates and
organization of styles in MS Word document, generating extract of the document, advanced find and
replace using regular expressions, using VB macro to create a frequency list of words, creating an
index using MS Word, statistical text analysis using MS Excel, and creating of the semantic Web
document.