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# Prerequisites You need to download the CMU MOSI dataset in order to run our models. You can download it here: http://immortal.multicomp.cs.cmu.edu/raw_datasets/ (CMU_MOSI.zip). Extract the contents in datasets/ in a folder called CMU_MOSI You also need to install the CMU MOSI SDK, which is used to process the CMU MOSI dataset: https://github.com/A2Zadeh/CMU-MultimodalSDK # Audio-based part of the project In order to train and run our CNN model for audio analysis, you can run python testing.py This loads and preprocesses all of the data from the CMU MOSI dataset and outputs plots of the accuracy and loss. # Text-based part of the project You can run the text-based models mentioned in our report by doing python "binary model.py" python "closer categories.py" python "divide and conquer model.py" which are located under "testing models"/text
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A sentiment analyzer which combines audio and text for CPS803
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