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DOD: Create demo in the form of a Jupyter notebook using Twitter data and NLP techniques. The demo should follow the standard pattern. Example demos are available here: https://docs.mldb.ai/doc/#builtin/Demos.md.html
The demo should use a publicly available Twitter dataset. It can then show how to generate insights from the data using unsupervised techniques (clustering, visualisation, topic extraction, etc) or show how it can be used to train a supervised model.
Blog post about MLDB Hacktoberfest 2016
DOD: Create demo in the form of a Jupyter notebook using Twitter data and NLP techniques. The demo should follow the standard pattern. Example demos are available here: https://docs.mldb.ai/doc/#builtin/Demos.md.html
The demo should use a publicly available Twitter dataset. It can then show how to generate insights from the data using unsupervised techniques (clustering, visualisation, topic extraction, etc) or show how it can be used to train a supervised model.
This is an example of a demo importing text and making a visualisation from it: https://docs.mldb.ai/ipy/notebooks/_demos/_latest/Mapping%20Election%20Press%20Releases.html
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