The author applies the content analysis to study 1608 video news of Czech TV in 1989, 2005 and 2021. studies two categories “Genre” “Thematic” were conducted. hypotheses about increase negative information rise entertainment is tested. Much attention given seeking changes genres news, which occur as a result media convergence expansion user-generated content. greatest genre diversity was found ...

Two studies examined how adult age and time of measurement influence media preferences. Study 1 (using TV ratings data from 1970s to 1980s) found that the popularity of genres varied over time, but even after controlling for year, age groups differed in (a) genre choices (consistent with socioemotional selectivity theory) and (b) age of characters viewed (consistent with age identity theory). T...

Recently, textual characteristics, i.e. certain language statistics, have been proposed to compare corpora originating from different genres and domains, to give guidance in language engineering processes and to estimate the transferability of natural language processing algorithms from one corpus to another. However, until now it is unclear how these textual characteristics behave for differen...

Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic fea19 tures, but can impose significant computational challenges because of the large size of feature sets. Little is understood about which features most benefit performance, partic21 ularly for speech data from different speaking...

One of the biggest challenges in speech synthesis is the production of contextually-appropriate naturally sounding synthetic voices. This means that a Text-To-Speech system must be able to analyze a text beyond the sentence limits in order to select, or even modulate, the speaking style according to a broader context. Our current architecture is based on a two-step approach: text genre identifi...

Automated Genre Identification (AGI) of web pages is a problem of increasing importance since web genre (e.g. blog, news, eshops, etc.) information can enhance modern Information Retrieval (IR) systems. The state-of-the-art in this field considers AGI as a closed-set classification problem where a variety of web page representation and machine learning models have intensively studied. In this p...

Part-of-speech tagging is a basic component of natural language processing, and as such, needs to be as accurate as possible, or any subsequent processing will suffer. For Swedish, most tagger models are trained on the Stockholm-Umeå Corpus (SUC Ejerhed et al., 2006). As SUC is a balanced corpus, SUC models are better representatives for general language than models trained on news texts only, ...

Microblogging, a new type of online information sharing platform through short messages of up to 140 characters, has grown up quickly and received increasing attentions in recent years. A microblogging platform (e.g., Twitter) enables both individuals and organizations to disseminate information, from current affairs to breaking news in a timely fashion, which makes it a valuable knowledge sour...