Preprocessing methods besides stop words, regular expressions, lemmatization and stemming for an NLP classification problem

This page summarizes the projects mentioned and recommended in the original post on /r/MLQuestions
Machine Learning Security Natural Language Processing NLP adversarial-machine-learning

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  • TextAttack

    TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

    • Could have a look at what's available in the augmentor here https://github.com/QData/TextAttack. I'm not experienced with NLP so I may be way off here

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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