People Innovation Excellence
 

NATURAL LANGUAGE PROCESSING (2 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Describe what is Natural Language Processing and its components; Explain fundamental concepts of how to work with Natural Language Processing; Apply Natural Language Processing concepts in certain real-world applications; Construct Natural Language Processing applications.

Topics:

  1. Language and Computation
  2. N-Grams and Part-of-Speech
  3. Corpus
  4. Naive Bayes & Sentiment Classification
  5. Classification & Logistic Regression
  6. Vector Semantics & Embeddings
  7. Progress Project Presentation
  8. Neural Networks & Neural Language Models
  9. Constituency Grammars & Parsing
  10. Dependency Parsing
  11. Semantic Role Labeling
  12. Chatbots
  13. Final Project Presentation

Published at : Updated

Periksa Browser Anda

Check Your Browser

Situs ini tidak lagi mendukung penggunaan browser dengan teknologi tertinggal.

Apabila Anda melihat pesan ini, berarti Anda masih menggunakan browser Internet Explorer seri 8 / 7 / 6 / ...

Sebagai informasi, browser yang anda gunakan ini tidaklah aman dan tidak dapat menampilkan teknologi CSS terakhir yang dapat membuat sebuah situs tampil lebih baik. Bahkan Microsoft sebagai pembuatnya, telah merekomendasikan agar menggunakan browser yang lebih modern.

Untuk tampilan yang lebih baik, gunakan salah satu browser berikut. Download dan Install, seluruhnya gratis untuk digunakan.

We're Moving Forward.

This Site Is No Longer Supporting Out-of Date Browser.

If you are viewing this message, it means that you are currently using Internet Explorer 8 / 7 / 6 / below to access this site. FYI, it is unsafe and unable to render the latest CSS improvements. Even Microsoft, its creator, wants you to install more modern browser.

Best viewed with one of these browser instead. It is totally free.

  1. Google Chrome
  2. Mozilla Firefox
  3. Opera
  4. Internet Explorer 9
Close