WalkSelf · AI, Tech & Engineering · AI & Machine Learning

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)

Parsing Gherkin Scenarios with Laravel String Helpers

Formatting High Priority Alerts with Python List Comprehensions

Text Analysis in R: Calculate TF-IDF with Quanteda

Introduction to Natural Language Processing Tasks

Text Segmentation with Dynamic Programming in Java

Question Answering with Hugging Face NLP API

Functional Language Processing with Transducers in PHP

Mastering Greedy and Nongreedy Quantifiers in Perl Regex

Applications of LSTMs for Text Generation

Natural Language Processing with PyCaret for Topic Modeling

Named Entity Recognition with spaCy for Beginners

Text Normalization in NLP with R: Stemming and Lemmatization

Text Analysis and Analyzers in Elasticsearch

Text Classification with spaCy and Keras

String Splitting and Code Parsing with PHP Tokenizer and Laravel Cursors

Regular Expressions in Python with Interactive Text Quizzes

Understanding Word2Vec and Word Embeddings through Practical Exercises

Building a Word-to-Phone-Number Converter in Ruby

Token-Based Matching Fundamentals

Semantic Similarity with spaCy

Text Analysis and Insights with Comprehend NLP

Ruby String Manipulation and Word Counting with Split

ELMo and Contextual Word Vectors for Natural Language Processing

Perl Regex Quantifiers for Precise Text Matching