Extracting news and Tweets from the UK about COVID19 in parallel with Lithops and realizing a Sentiment analysis over them and comparing the Opinions.

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial

Title in different languages: Extracting news and Tweets from the UK about COVID19 in parallel with Lithops and realizing a Sentiment analysis over them and comparing the Opinions.

Abstract: By automatically gathering tweets of Twitter from people who reside in UK and processing them with the help of Lithops [1], e.g., through a parallel sentiment analysis, one can infer how population “sees” the evolution of the COVID19 pandemic. Optionally, this view can be complemented with the “official version” from the UK government, e.g., via web scraping, and after performing a sentiment analysis, determine the view of the UK government. Finally, we can cross compare both version and measure the differences.

Subject: Enginyeria informàtica

Academic year: 2020-2021

Language: en

Work's public defense date: 2021-09

Subject areas: Computer engineering

Student: Goia, Ariana-Carmen

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2022-03-17

Keywords: COVID19, paralelo, analisi de sentimientos.

Title in original language: Extracting news and Tweets from the UK about COVID19 in parallel with Lithops and realizing a Sentiment analysis over them and comparing the Opinions.

Access Rights: info:eu-repo/semantics/openAccess

Project director: Sanchez Artigas, Marc