Sentimental reflection of global crises: Czech and Ukrainian views on popular events through the prism of internet commentary

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F24%3A73627439" target="_blank" >RIV/61989592:15210/24:73627439 - isvavai.cz</a>

Výsledek na webu

<a href="https://sciendo.com/article/10.2478/jazcas-2024-0027" target="_blank" >https://sciendo.com/article/10.2478/jazcas-2024-0027</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/jazcas-2024-0027" target="_blank" >10.2478/jazcas-2024-0027</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sentimental reflection of global crises: Czech and Ukrainian views on popular events through the prism of internet commentary

Popis výsledku v původním jazyce

Social media have become a part of our lives, and their use helps us learn about events and comment on them with certain emotions. The purpose of our study was to determine the most frequent tone (positive, negative, neutral) of comments on impactful emergency and crisis news in the Czech Republic and Ukraine on a specific topic (pandemics, war, natural disaster etc.) using the sentiment analysis method. The methods of the study included a theoretical analysis of literature, social media (Twitter, Telegram), a Python program using: large language models GPT-3.5-Turbo and Twitter-XLM-RoBERTa, processing and interpretation of results (psycholinguistic).

Název v anglickém jazyce

Sentimental reflection of global crises: Czech and Ukrainian views on popular events through the prism of internet commentary

Popis výsledku anglicky

Social media have become a part of our lives, and their use helps us learn about events and comment on them with certain emotions. The purpose of our study was to determine the most frequent tone (positive, negative, neutral) of comments on impactful emergency and crisis news in the Czech Republic and Ukraine on a specific topic (pandemics, war, natural disaster etc.) using the sentiment analysis method. The methods of the study included a theoretical analysis of literature, social media (Twitter, Telegram), a Python program using: large language models GPT-3.5-Turbo and Twitter-XLM-RoBERTa, processing and interpretation of results (psycholinguistic).

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Jazykovedny Casopis

ISSN

0021-5597

e-ISSN

1338-4287

Svazek periodika

75

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

19

Strana od-do

43-61

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85209917099