Abstract: Systems and methods for improving the analysis of results from a user experience study are provided. In some embodiments, study results are converted into text if needed. The text is segmented, and qualifiers and entity pairs are identified within the text (semantic analysis). Sentiment for these pairs is also determined. This information is utilized to generate one or more of different analyses of the study results. This includes, for example, the automatic generation of video and/or text clips from the study results that are of greatest interest to the user. This is performed by scoring certain keywords in the segments, generating the clips based upon the scores, and then filtering using trained machine learning models. Another analysis includes the generation of a semantic matrix with sentiment color coding. Intensity of the color may be defined by the frequency the entity-qualifier pair occurs.