Abstract: Certain aspects of the disclosure provide a system and method for generating codes associated with clusters of sentiments, comprising receiving a text input, partitioning the text input into one or more segments, generating one or more numerical vectors associated with each of the one or more segments, comparing the one or more numerical vectors to generate a plurality of cosine proximity values associated with the one or more numerical vectors, applying a clustering algorithm to the one or more numerical vectors to generate clusters of segments within one or more cosine proximity ranges, generating one or more codes associated with each of the clusters of segments within the one or more cosine proximity ranges, wherein each cluster represents an overall sentiment, and netting the one or more codes into one or more categories by inputting the one or more codes into a large-language model.

Abstract: Certain aspects of the disclosure provide a system and method for generating codes associated with clusters of sentiments, comprising receiving a text input, partitioning the text input into one or more segments, generating one or more numerical vectors associated with each of the one or more segments, comparing the one or more numerical vectors to generate a plurality of cosine proximity values associated with the one or more numerical vectors, applying a clustering algorithm to the one or more numerical vectors to generate clusters of segments within one or more cosine proximity ranges, and generating one or more codes associated with each of the clusters of segments within the one or more cosine proximity ranges, wherein each cluster represents an overall sentiment.