ANALYSIS OF FEELINGS IN EDUCATIONAL ENVIRONMENTS

• DOI: 10.22533/at.ed.5583352319096

• Palavras-chave: Red social, análisis de sentimientos, red neuronal, educación superior

• Keywords: Social networks / word cloud/neural network / higher education / Twitter

• Abstract:

  Social network popularity has made easy sharing ideas in a variety of settings, whether professional, educational or personal. However, when the amount of information exchanged grows, so does the complexity of following up on occurrences. This pilot project for Twitter seeks to identify the polarity of a comment using data from a test account that was monitor for a couple of months at a time. The NLTK library was used for human language analysis, which provides easy-to-use interfaces and lexical resources to classify, label, parse language elements, and perform semantic reasoning. The process included the creation of various word clouds from the original database, the identification of the most relevant words. Finally, the quality of the word selected as relevant as well as their combination were evaluated using a neural network to determine the polarization.