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Natural Language Processing Key Terms, Explained

KDnuggets

This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

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7 Steps to Mastering Natural Language Processing

Flipboard

Want to learn all about Natural Language Processing (NLP)? Here is a 7 step guide to help you go from the fundamentals of machine learning and Python to Transformers, recent advances in NLP, and beyond.

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Comparing Natural Language Processing Techniques: RNNs, Transformers, BERT

KDnuggets

RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.

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Transfer Learning for Image Recognition and Natural Language Processing

KDnuggets

Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

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Data Representation for Natural Language Processing Tasks

KDnuggets

In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" Enter the word vector.

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Advanced Guide for Natural Language Processing

Analytics Vidhya

Introduction Welcome to the transformative world of Natural Language Processing (NLP). Here, the elegance of human language meets the precision of machine intelligence. The unseen force of NLP powers many of the digital interactions we rely on.

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Introduction to Natural Language Processing

Flipboard

An overview of Natural Language Processing (NLP) and its applications.