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Addressing Sentiment Analysis Challenges within AI Media Platform: The Enabling Role of an AI Powered Chatbot

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  • Avram Constantin

    (Dunarea de Jos University of Galati, Romania)

  • Rusu Robert

    (Dunarea de Jos University of Galati, Romania)

Abstract

This paper seeks to classify text with a supervised machine learning algorithm, embedded into an AI powered chatbot. A data set containing tagged texts is used to classify text from IMDb movie review data set, Reviews for Sentiment Analysis - Amazon and Earphones Reviews. The goal is to automatically classify texts into one or more predefined categories. Using supervised learning methods, we developed a model that will use the labelled data set as input. These texts are classified according to syntactic or linguistic characteristics. Research findings outlined that the choice of characteristics for the classification of the sentiments is relevant for leveraging the best possible accuracy, considering Lexicon sentiment, Rules for opinions, Emoticons, Frequency and presence of terms.

Suggested Citation

  • Avram Constantin & Rusu Robert, 2021. "Addressing Sentiment Analysis Challenges within AI Media Platform: The Enabling Role of an AI Powered Chatbot," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 399-406.
    • Handle: RePEc:ddj:fserec:y:2021:p:399-406
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