no code implementations • 16 Mar 2018 • Marina Sokolova, Victoria Bobicev
Transformation of Machine Learning (ML) from a boutique science to a generally accepted technology has increased importance of reproduction and transportability of ML studies.
no code implementations • WS 2018 • Victoria Bobicev, Marina Sokolova
In the current study, we apply multi-class and multi-label sentence classification to sentiment analysis of online medical forums.
no code implementations • WS 2018 • Victoria Bobicev, Victoria Lazu, Daniela Istrati
This paper describes the participation of the LILU team in SMM4H challenge on social media mining for health related events description such as drug intakes or vaccinations.
no code implementations • RANLP 2017 • Victoria Bobicev, C{\u{a}}t{\u{a}}lina M{\u{a}}r{\u{a}}nduc, Cenel Augusto Perez
We try to preserve data about endangered idioms such as Aromanian, Meglenoromanian and Istroromanian dialects, and calculate the distance between different regional variants, including the language spoken in the Republic of Moldova.
no code implementations • WS 2016 • Wafia Adouane, Nasredine Semmar, Richard Johansson, Victoria Bobicev
Automatic Language Identification (ALI) is the detection of the natural language of an input text by a machine.
no code implementations • RANLP 2017 • Victoria Bobicev, Marina Sokolova
Manual text annotation is an essential part of Big Text analytics.
no code implementations • RANLP 2017 • Olga Kanishcheva, Victoria Bobicev
Although there are applications for sentiment analysis of news, the task of news analysis is still a very actual problem because the latest news impacts people{'}s lives daily.
no code implementations • 19 Oct 2020 • Marina Sokolova, Victoria Bobicev
We propose the Echo-Chamber Effect assessment of an online forum.