Please use this identifier to cite or link to this item:
Type of publication: research article
Type of publication (PDB): Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Informatikos inžinerija / Informatics engineering (T007);Komunikacija ir informacija / Communication and information (S008);Informatika / Informatics (N009)
Author(s): Mandravickaitė, Justina;Briedienė, Monika;Uus, Jonas;Krilavičius, Tomas
Title: What’s in the news? Identification of trending topics in alternative and mainstream Lithuanian media
Is part of: CEUR Workshop proceedings [electronic resource]: Machine learning for trend and weak signal detection in social networks and social media, Toulouse, France, February 27-28, 2020 : proceedings. Aachen : CEUR-WS, 2020, Vol. 2606
Extent: p. 3-17
Date: 2020
Keywords: Topic modelling;Framing;Media Monitoring;NLP;Lithuanian language;Artificial Intelligence;LDA;Stm
Abstract: It is no longer surprising that internet media is a significant appliance in reflecting and shaping public opinion. Tracking topics dynamics and focus in different media channels is an important tool for opinion-forming mechanisms and process analysis. Information collect, text analytics and Artificial Intelligence tools allows identification of trending topics in different media sources, while exploratory visual analytics tools provide means to identify prevalence of topics in different sources, and their dynamics. In this paper we discuss an ongoing research and demonstrate applicability of such approach to main Lithuanian news portal ( and alternative unconventional media channels – and
Affiliation(s): Baltijos pažangių technologijų institutas
Baltijos pažangiųjų technologijų institutas
Informatikos fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:3. Konferencijų medžiaga / Conference materials
Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml6.62 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Page view(s)

checked on Mar 30, 2021


checked on Mar 31, 2021

Google ScholarTM


This item is licensed under a Creative Commons License Creative Commons