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This topic contains 0 replies, has 1 voice, and was last updated by  hector 3 years, 11 months ago.

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    Recently I volunteer myself to help the psychology department at my university on a “Social Intelligence(SI)” program. The program covers neuroplasticity to every day human interactions, the projected end results is making one more compassionate and empathetic with other humans/things.
    I started off with using python NLTK for the analysis and the elk stack for storage and visualizations.
    Does anyone have any similar projects/usecases?
    Perhaps a better implementation?
    My current constraint: training the NLTK
    There is a selection of corpus to train your analyzer.
    I am trying to determine which corpus is relevant to the questions asked to the SI.
    Or could I train my analyzer to with all corpus.. the more the better?
    Open for suggestions!

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