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Natural Language Processing (NLP)

Teach computers to understand, process, and generate human language. Cover topics from text preprocessing and sentiment analysis to transformers and large language models.

Natural Language Processing (NLP)

Text Generation with LSTMs and Modern NLP

Text Preprocessing in R: Stemming with tidytext and SnowballC

Text Generation with Hugging Face NLP Pipelines in Python

Parsing Gherkin Descriptions in Laravel

Understanding Word Vectors for Natural Language Processing

Biased Vectors in NLP Fairness

Building a Markov Chain Text Generator in Laravel

Text Data Preparation for Deep Learning with JAX

Text Analysis in R: Managing Corpus Classes and Source Types

Splitting Strings with Regular Expressions in Laravel

Text Cleaning and Preprocessing for NLP in R

Analyzing Sentiment with the Text Completions API

Sequence Modeling with RNNs and LSTMs

Analyzing Text Corpora with Metadata in the R tm Package

Text Generation Methods with RNNs, LSTMs, and CNNs

Regular Expressions and Syntax Support for Beginners

Natural Language Processing Exercises with spaCy

Graph Modeling in Elixir: Books and Relationships

Text Classification with spaCy for Beginners

Part-of-Speech Tagging in NLP for Grammar Correction

Natural Language Processing Fundamentals with Interactive Quizzes

Text Mining in R: Building Frequent Terms Lists for Text Analysis

Natural Language Processing with Dependency Trees for Entity Extraction

Chunking Strategies for Efficient Text Processing