Treballs Fi de MàsterEnginyeria Informàtica i Matemàtiques

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

  • Identification data

    Identifier:  TFM:945
    Authors:  Goia, Ariana-Carmen
    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.
  • Others:

    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Student: Goia, Ariana-Carmen
    Education area(s): Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial
    Department: Enginyeria Informàtica i Matemàtiques
    Creation date in repository: 2022-03-17
    Subject: Enginyeria informàtica
    Academic year: 2020-2021
    Work's public defense date: 2021-09
    Access Rights: info:eu-repo/semantics/openAccess
    Project director: Sanchez Artigas, Marc
  • Keywords:

    paralelo
    analisi de sentimientos.
    Computer engineering
  • Documents:

  • Cerca a google

    Search to google scholar