Mastering Large Datasets with Python Mastering Large Datasets with Python teaches readers how to write easily scalable Python code that can effectivelly process large volumes of structured and unstructured data.
Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP Can natural language processing techniques be used to determine whether internet users are depressed from only text where the users are not talking about depression and mental health topics? We find that lexical models perform reasonably well and are suitable for diagnostics and population monitoring.
Mastering Large Datasets

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