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Computer Science
Software Engineering
Chatbot Development
1. Introduction to Chatbots
2. Foundational Technologies
3. Core Components of Conversational AI
4. Chatbot Design Principles
5. Development Methodologies
6. Building NLU Systems
7. Dialogue Management Systems
8. Large Language Models in Chatbots
9. Development Tools and Platforms
10. Integration and Deployment
11. Testing and Quality Assurance
12. Monitoring and Analytics
13. Maintenance and Continuous Improvement
14. Advanced Topics
15. Ethics and Responsible AI
6.
Building NLU Systems
6.1.
Text Preprocessing Pipeline
6.1.1.
Sentence Segmentation
6.1.2.
Tokenization
6.1.2.1.
Word-Level Tokenization
6.1.2.2.
Subword Tokenization
6.1.2.3.
Character-Level Tokenization
6.1.3.
Normalization
6.1.3.1.
Case Normalization
6.1.3.2.
Punctuation Handling
6.1.3.3.
Spelling Correction
6.1.4.
Stop Word Removal
6.1.5.
Stemming and Lemmatization
6.2.
Feature Extraction
6.2.1.
Bag of Words
6.2.2.
TF-IDF
6.2.3.
Word Embeddings
6.2.3.1.
Word2Vec
6.2.3.2.
GloVe
6.2.3.3.
FastText
6.2.4.
Contextual Embeddings
6.2.4.1.
ELMo
6.2.4.2.
BERT
6.2.4.3.
RoBERTa
6.3.
Intent Classification
6.3.1.
Problem Formulation
6.3.2.
Dataset Preparation
6.3.3.
Model Selection
6.3.3.1.
Naive Bayes
6.3.3.2.
Support Vector Machines
6.3.3.3.
Neural Networks
6.3.4.
Training and Optimization
6.3.5.
Evaluation Metrics
6.4.
Entity Recognition
6.4.1.
Sequence Labeling
6.4.2.
BIO Tagging
6.4.3.
Model Architectures
6.4.3.1.
CRF Models
6.4.3.2.
BiLSTM-CRF
6.4.3.3.
Transformer-Based NER
6.4.4.
Custom Entity Types
6.4.5.
Gazetteer Integration
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5. Development Methodologies
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7. Dialogue Management Systems