Natural Language Processing
(การประมวลผลภาษาธรรมชาติ)
Definition
Natural Language Processing (การประมวลผลภาษาธรรมชาติ) Hard Skill
Natural Language Processing (NLP) involves the development of algorithms and models that enable computers to understand, interpret, and generate human language in a meaningful way.
Expertise Level
Level 1
Basic
1. Understands fundamental concepts of NLP such as tokenization and stemming.
2. Can use existing NLP libraries for simple text processing tasks.
3. Able to preprocess text data for analysis.
Level 2
Intermediate
1. Can build and train models for tasks like sentiment analysis and named entity recognition.
2. Understands common NLP algorithms and techniques including parsing and vectorization.
3. Able to evaluate and fine-tune NLP models using appropriate metrics.
Level 3
Advanced
1. Designs and implements complex NLP systems involving deep learning architectures.
2. Applies advanced techniques such as transformer models and language generation.
3. Integrates NLP solutions into scalable applications and optimizes performance.
