Natural Language Processing with Python

This program introduces Natural Language Processing (NLP) using Python, focusing on how computers process, understand, and generate human language. Participants will learn the foundations of text analytics, language models, sentiment analysis, chatbot systems, and AI-driven communication technologies. The program combines practical Python-based implementation with real-world applications of NLP across industries such as customer service, healthcare, finance, and business intelligence.

Introduction to Natural Language Processing

• Understanding NLP concepts and applications

• How machines process human language

• Overview of text analytics workflows

• Real-world NLP use cases

• Introduction to NLP libraries and tools

Python for Text Processing

• Working with text data in Python

• Text cleaning and preprocessing techniques

• Tokenization and normalization methods

• Handling stop words and stemming

• Preparing datasets for NLP tasks

Text Analytics & Language Models

• Sentiment analysis and opinion mining

• Text classification techniques

• Named entity recognition concepts

• Topic modeling and keyword extraction

• Introduction to language models

Conversational AI & Chatbots

• Building simple chatbot systems

• Intent recognition and response generation

• NLP for customer support automation

• Working with conversational datasets

• Practical AI communication applications

Advanced NLP Applications

• Text summarization and translation

• Speech and voice processing basics

• Transformer models and modern NLP systems

• Ethical considerations in NLP

• Future trends in AI-driven language technologies