Sentiment analysis of written news using a model based on the long short-term memory neural Network to determine if positive news improve people’s mood
DOI:
https://doi.org/10.26439/ciis2019.5500Keywords:
machine learning, sentiment analysis, recurrent neural network, long short-term memory, psychological and social well-beingAbstract
It is a fact that the paradigm of distributing negative news to the population is the most accepted worldwide. A large amount of research has been done to determine the effects of this paradigm on the population and, in all cases, it has been shown to be harmful to the health and behavior of people. Therefore, this paper aims to demonstrate that the opposite paradigm, the distribution of positive news, generates an improvement in the health, behavior and mood of the population. To achieve this, a model based on the long short-term memory neural network has been developed in order to analyze sentiments caused by news written in Spanish. Moreover, an experiment was conducted to determine people’s mood after having read positive news.
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