  The research project aims to apply an integrated approach to natural language
processing NLP to satisfaction surveys. It will focus on understanding and
extracting relevant information from survey responses, analyzing feelings, and
identifying recurring word patterns. NLP techniques will be used to determine
emotional polarity, classify responses into positive, negative, or neutral
categories, and use opinion mining to highlight participants opinions. This
approach will help identify the most relevant aspects for participants and
understand their opinions in relation to those specific aspects. A key
component of the research project will be the analysis of word patterns in
satisfaction survey responses using NPL. This analysis will provide a deeper
understanding of feelings, opinions, and themes and trends present in
respondents responses. The results obtained from this approach can be used to
identify areas for improvement, understand respondents preferences, and make
strategic decisions based on analysis to improve respondent satisfaction.
