Banca de QUALIFICAÇÃO: ALEX MATIAS GOMES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ALEX MATIAS GOMES
DATE: 05/12/2021
TIME: 09:30
LOCAL: VIDEOCONFERÊNCIA (https://meet.google.com/geo-mxnd-jgo)
TITLE:

Sentiment analysis of user-generated content on Twitter from political communications regarding the covid-19 vaccine.  

KEY WORDS:

sentiment analysis; political communication; user generated content; Covid-19.

PAGES: 39
BIG AREA: Ciências Sociais Aplicadas
AREA: Administração
SUMMARY:

The coronavirus pandemic has changed the lives of millions of people and was an important milestone for the growth of social media and user-generated content on these social networks. The discourses, speeches and positions of the political class during the conduct of the epidemiological crisis were an engine for reactions in social networks and had reflections on the sentiments and behavior of the population. Vaccination, seen as an important measure to end the pandemic, was one of the most discussed topics. This project will seek to find out what is the public opinion regarding political communications on vaccination, and for that purpose it is proposed to use an analysis of feelings with data from Twitter.

BANKING MEMBERS:
Externo à Instituição - GABRIEL RODRIGO GOMES PESSANHA - UNIFAL-MG
Presidente - 1372521 - MARIA VALERIA PEREIRA DE ARAUJO
Interno - 2859852 - MAX LEANDRO DE ARAUJO BRITO