5 Questions
What is the process of recognizing hidden structure in data called?
Topic modeling
Which type of learning is used in text categorization?
Supervised learning
What is the assumption in topic modeling using LDA?
Documents are a combination of different topics
What technique is commonly used in text classification?
tfidf
What does NLP stand for?
Natural Language Processing
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.
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.
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