Sentiment analysis throughout the pandemic period
Sentiment analysis of COVID-19 related tweets in Portuguese throughout the pandemic.
Creation of a visual timeline that reflects the emotional state of the Portuguese population throughout the pandemic period and integrates information on the measures that may have contributed the most to that state.
1 – Selection of relevant data sources for sentiment analysis of the Portuguese population (such as data from our news repository Observador/Público newspaper, or data extracted from Twitter). – List implementation and survey of government measures over time;
2 – Development/use of pre-existing algorithms (e.g. NLTK/spaCy in Portuguese) for classification in terms of positive/negative sentiment (or a range in between), based on text from the chosen sources;
3 – Presentation of the results through relevant and explicit visualizations;
More detail in the blog post written by the volunteers: https://www.dssg.pt/a-pandemia-nos-nossos-sentimentos/