Academic Scientific JournalsImproving (not only) pronunciation with ELSA: Users’ opinions
DOI:
https://doi.org/10.26881/bp.2024.1.03Keywords:
ELSA, language learning application, opinions, sentiment analysis, valuationAbstract
In this paper, we concentrate on ELSA (ELSA Speaking) which teaches English, focusing mainly, albeit not exclusively, on pronunciation. The aim of this paper is to analyze the opinions of the users of this application.
The research material was extracted from Google Play Store. We randomly selected 25,000 opinions written in English about ELSA and compiled a corpus of these opinions, with the use of the program AntConc. The tool used to conduct a sentiment analysis – the Text Sentiment Analysis add-in from the Azure Machine Learning Web Services for Excel – allowed us to classify the users’ opinions about the application into the positive, neutral and negative. With the help of AntConc, we identified positively and negatively charged adjectives employed in the opinions.
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