Natural Language Processing (NLP)
(การประมวลผลภาษาธรรมชาติ (NLP))
Definition
Natural Language Processing (NLP) (การประมวลผลภาษาธรรมชาติ (NLP)) Hard Skill
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate natural language text or speech.
Expertise Level
Level 1
Basic
1. Understands fundamental concepts of NLP and its applications.
2. Can perform basic text preprocessing tasks such as tokenization and stop-word removal.
3. Familiar with common NLP libraries and tools.
Level 2
Intermediate
1. Can implement and fine-tune NLP models for tasks like sentiment analysis and named entity recognition.
2. Understands language models, embeddings, and basic machine learning techniques used in NLP.
3. Able to preprocess and analyze unstructured text data effectively.
Level 3
Advanced
1. Designs and develops advanced NLP systems using deep learning and transformer architectures.
2. Optimizes and scales NLP solutions for large datasets and real-time applications.
3. Contributes to research or innovation in language understanding and generation.
