abstract
- © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Determining people's feelings when they speak is relatively easy due to the tone and language with which they express themselves. This happens if another person is listening and understanding what the first person wants to imply. However, for an algorithm that is capable of capturing the sound of a person's voice, it is difficult on its own to interpret the feeling or even analyze what the person wants to say. To achieve this, it is necessary to rely on some computer science and linguistics techniques such as Natural Language Processing (NLP). With sentiment analysis algorithms in combination with voice recognition and the general use of NLP, it is possible to create intelligent systems that allow the interpretation of people's feelings based on the audible message that they emit.