- Presentación
- Temario
- Metodología
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Descripción
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Objetivos
Salidas Profesionales
Temario
UNIT 1. INTRODUCTION TO NLP
- What is NLP?
- What does NLP include?
- Examples of NLP applications
- Future of NLP
UNIT 2. NLP IN PYTHON
- NLP in Python with the NLTK library
- - Installing the NLTK Library
- - Sentence tokenization
- - Word tokenization
- - Text lemmatization and stemming
- - Stop Words
- - RegEx
- - Bag of Words
- - TF-IDF
- Other tools for NLP
UNIT 3. SYNTACTIC ANALYSIS IN NLP
- Principles of syntactic analysis
- Context-free grammar
- Parsers
UNIT 4. COMPUTATIONAL SEMANTICS FOR NLP
- Introduction to semantic analysis
- Semantic language for NLP
- Pragmatic analysis
UNIT 5. INFORMATION RETRIEVAL AND EXTRACTION
- Introductory aspects
- Steps in information extraction
- - Basic concepts
- - Deciding between macro-understanding vs. micro-understanding
- - Feasibility study
- - Understanding the entire document (Macro-understanding)
- - Extracting facts, entities, and relationships (Micro-understanding)
- - Maintain traceability
- - Human assistance in the process
- NLP Example
- - Obtaining the data (Stories)
- - Initial exploration (Loading the data)
- - Data Cleaning
- - Exploratory analysis
- - Sentiment analysis
- - Topic modeling
- NLP example with English text input
- - Tokenization
- - Frequency distribution
- - Stop Words
- - Word Stemming
- - POS Tagging
UNIT 6. WHAT IS A CHATBOT?
- Introductory aspects
- What is a chatbot?
- - Evolution of chatbots
- How does a chatbot work?
- Voicebots
- - Types of voicebots
- Challenges for chatbots
- - Chatbot security
- - Chatbot personalization
- - User feelings and emotions in voicebots
- - Multilingual support
UNIT 7. THE CONNECTION BETWEEN AI AND CHATBOTS
- Chatbots and the role of Artificial Intelligence (AI)
- Uses and benefits of chatbots
- Difference between bots, chatbots and AI
UNIT 8. APPLICATION OF CHATBOTS
- Areas of application of chatbots
- Development of a chatbot with ChatterBot and Python
- Development of a chatbot for Facebook Messenger with Chatfuel
Metodología
EDUCA LXP se basa en 6 pilares
Titulación

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Course on NLP, Chatbots, and Artificial Intelligence