THE BENEFITS OF ARTIFICIAL INTELLIGENCE IN SOCIAL MEDIA MONITORING
DOI:
https://doi.org/10.32813/2179-1120.2021.v14.n1.a623Keywords:
Social media monitoring, Artificial intelligence], Social mediaAbstract
In a scenario in which the most discussed subject is the volume of produced data in social media and how to analyze it, it is necessary to study solutions that contribute with the scanning of such information and, especially, with the search for what is relevant. According to the data disclosed by ComScore in the 2017 tendency study, Brazil has over 97 million single users connected to social media. Scattered between desktop and mobile phones, the users are constantly connected and produce diverse types of contents in their personal channels, from photos to texts and videos. From this volume of information shared by the social media users, professionals and companies look into obtaining knowledge based in such shared content. This knowledge is obtained through the process of social media monitoring, which is, most of the times, performed with professional tools that collaborate with the process of data structuring and analysis. However, for being a manual classification process, it presents a larger learning curve and information treatment process. This study aims to bring the artificial intelligence (AI) as an alternative to this problem as an orientation regarding this technology’s main benefits. The use of such technology, in this case, has the purpose to make data structuring and user’s decision-making faster and efficient. The research brings, from AI, subjects such as the machine learning process, the use of artificial neural network (ANN) and deep learning.
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