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Questions and Answers
What is the process of recognizing hidden structure in data called?
What is the process of recognizing hidden structure in data called?
- Unsupervised learning
- NLP modeling
- Supervised learning
- Topic modeling (correct)
Which type of learning is used in text categorization?
Which type of learning is used in text categorization?
- NLP modeling
- Unsupervised learning
- Generative probabilistic model
- Supervised learning (correct)
What is the assumption in topic modeling using LDA?
What is the assumption in topic modeling using LDA?
- Text features are combined in deep learning models
- NLP is the basis of machine intelligence
- Categories are predefined
- Documents are a combination of different topics (correct)
What technique is commonly used in text classification?
What technique is commonly used in text classification?
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What does NLP stand for?
What does NLP stand for?
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Study Notes
Unsupervised Learning and NLP
- The process of recognizing hidden structure in data is called unsupervised learning.
Text Analysis
- Text categorization uses supervised learning.
- Topic modeling using Latent Dirichlet Allocation (LDA) assumes that each document is a mixture of topics and each topic is a mixture of words.
Techniques in NLP
- The commonly used technique in text classification is supervised learning.
- NLP stands for Natural Language Processing.
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Description
Explore the fundamentals of Natural Language Processing (NLP) and its applications in topic modeling and text categorization. Learn about unsupervised learning, recognizing hidden structure in data, and generative probabilistic models like LDA.
