Selected aspects of sentiment analysis in the context of human communication

Abstract

In the modern world, AI language-based solutions are more and more present in everyday life. Language users deal with chatbots or intelligent assistants (e.g., Siri or Alexa) that provide a human-machine interaction. This interaction relates not only to the knowledge of language rules but also to the way language exchange works among its users. Furthermore, such interaction definitely suggests implied meaning and cognitive aspects of the human communication. Thus, the research question of this work proposes the thesis that in the process of natural language processing, the above-mentioned aspects must be taken into account. The present article attempts to address the issue of whether the interpretation of the sentiment analysis models the cognitive background of the language interaction (human communication). Additionally, this analysis provides qualitative data that support the integrity of the NLP processes.