Jun 25, 2026 · Artificial Intelligence

NLP Study Notes: How Word Vectors Capture Meaning

This article explains the evolution of natural language processing, introduces transformer‑based large models such as BERT, GPT and T5, and details how words are represented through one‑hot vectors and dense word embeddings, illustrating their training and analogy capabilities.

CBOWEmbeddingNLP

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NLP Study Notes: How Word Vectors Capture Meaning

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Dec 21, 2018 · Artificial Intelligence

Machine Learning-Based Test Case Step Recommendation: Data Preprocessing, N‑gram, CBOW, and RNN/LSTM Model Construction

This article explains how to use machine‑learning techniques—including data preprocessing, N‑gram, CBOW, and various RNN/LSTM models—to automatically recommend the next function in a test‑case step sequence, improving writing speed and efficiency for developers.

CBOWData preprocessingLSTM

0 likes · 4 min read

Machine Learning-Based Test Case Step Recommendation: Data Preprocessing, N‑gram, CBOW, and RNN/LSTM Model Construction