Natural Language Processing (NLP301c)
Vietnamese title: Xử lý ngôn ngữ tự nhiên
Credits: 3
Prerequisites: AIL30x and (PRP201c or PFP191)

Description:
Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.
By the end of this Specialization, students will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots.

Learning outcomes:
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words.
Use locality sensitive hashing for approximate nearest neighbors.
Use dynamic programming, hidden Markov models, and word embeddings to autocorrect misspelled words, autocomplete partial sentences, and identify part-of-speech tags for words.
Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions.
Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering and to build chatbots.

Student tasks:
Student must get the certification of Natural Language Processing Specialization from Coursera to be accepted to the final examination

Tools:

Materials:
description: https://learner.coursera.help/hc/en-us/articles/208280036-Coursera-Code-of-Conduct
publisher: Coursera
description: https://www.coursera.org/learn/classification-vector-spaces-in-nlp?specialization=natural-language-processing
publisher: Coursera
note: MOOC 1: Natural Language Processing with Classification and Vector Spaces
description: https://www.coursera.org/learn/probabilistic-models-in-nlp?specialization=natural-language-processing
publisher: Coursera
note: MOOC 2: Natural Language Processing with Probabilistic Models
description: https://www.coursera.org/learn/sequence-models-in-nlp?specialization=natural-language-processing
publisher: Coursera
note: MOOC 3: Natural Language Processing with Sequence Models
description: https://www.coursera.org/learn/attention-models-in-nlp?specialization=natural-language-processing
publisher: Coursera
note: MOOC 4: Natural Language Processing with Attention Models
description: https://www.coursera.org/specializations/natural-language-processing
publisher: Coursera
note: SPEC: Natural Language Processing Specialization

Assessments:
category: PE
type: Final exam
weight: 50.0
duration: 120'
grading_guide: All studied courses.
note: by Exam Board
category: TE
type: Final exam
weight: 50.0
duration: 60'
no_question: Computer gradable
knowledge_and_skill: 60
grading_guide: All studied courses. Each module of course contributes 2-3 questions.
note: by Exam Board

Schedule:
session: Specialization Introduction
Natural Language Processing with Classification and Vector Spaces
- Sentiment Analysis with Logistic Regression
Offline 1: Introduction to the online course NLP301c
session: - Sentiment Analysis with Naïve Bayes
session: - Vector Space Models
session: - Machine Translation and Document Search
session: Natural Language Processing with Probabilistic Models:
- Autocorrect
- Part of Speech Tagging and Hidden Markov Models
session: - Autocomplete and Language Models
session: - Word embeddings with neural networks
session: Natural Language Processing with Sequence Models:
'- Neural Networks for Sentiment Analysis
- Recurrent Neural Networks for Language Modeling
session: - Recurrent Neural Networks for Language Modeling
- LSTMs and Named Entity Recognition
session: - Siamese Networks
Natural Language Processing with Attention Models:
- Neural Machine Translation
session: - Text Summarization
- Question Answering
session: - Chatbot
Offline 2: Review Natural Language Processing Specialization