5 NLP Libraries Everyone Should Know

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • NLTK

    NLTK Source

  • NLTK is one of the most excellent libraries available out there to train NLP models. This library is elementary to use. It is a beginner-friendly library for NLP. It has a lot of pre-trained models and corpora, which helps us to analyze things very quickly.

  • spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

  • spaCy is a well-known and straightforward natural language processing library in Python. It contributes to state-of-the-art efficiency and agility and has a proactive open-source association.

  • 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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  • Cython

    The most widely used Python to C compiler

  • Comparatively faster because of Cython support

  • bert

    TensorFlow code and pre-trained models for BERT

  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding — Devlin & al., 2018

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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