Bimodal Key Data and Semantic Analysis

This research was aimed at combining individual natural language processing methodologies into a consolidated model that takes in data in both audio and text format. Models were selected and ranked by adherence to select criteria for use in speech recognition, keyword and topic mining, and semantic analysis. Upon selection of the models, they were implemented through libraries into a singular program, which had an input of a combinatorial text and audio dataset, and provided a report of the analysis resulting from data mining. The program was tested using data from TED talks, and provided a structured output of the generated statistics.