Natural Language Processing Fundamentals: Understanding Human Language with AI
Bridge the gap between human communication and computer understanding
Skills you will gain:
About Program:
The Advanced NLP Virtual Workshop is a three-day program designed for academicians, PhD scholars, and faculty to explore cutting-edge NLP techniques, tools, and applications. Participants will delve into advanced concepts like transformers, domain-specific NLP, and ethical challenges while gaining hands-on experience with tools like Hugging Face and spaCy. The workshop empowers attendees to lead impactful research, innovate in NLP applications, and contribute to the future of the field.
Aim: Natural Language Processing, or NLP, is a field of Artificial Intelligence (AI) that enables computers to understand, interpret, and respond to human language in a way that is both meaningful and useful. The goal of NLP is to bridge the gap between human communication and computer understanding, allowing for more seamless interactions between humans and machines. This includes everything from speech recognition systems that transcribe spoken words into text, to chatbots that assist with customer service, to sophisticated algorithms that can analyze large volumes of text for insights.
Program Objectives:
- Master advanced NLP techniques, including transformers and large language models.
- Gain hands-on expertise in building and optimizing NLP pipelines.
- Develop domain-specific NLP solutions for healthcare, legal, and education.
- Address ethical challenges, ensuring fairness and bias mitigation in NLP.
- Design impactful research proposals and publish in high-impact journals.
- Explore emerging trends like cognitive-inspired NLP and explainable AI.
What you will learn?
Day 1: Core Concepts & NLP Foundations
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Key principles: Syntax, semantics, and language understanding in AI
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NLP evolution: From rule-based systems to deep learning models
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Applications: Virtual assistants, translation systems, and conversational AI
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Hands-on: Build a basic text classifier using scikit-learn and explore linguistic annotation with spaCy
Day 2: Tools, Pipelines & Transformers
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NLP pipelines: Tokenization, embeddings, and model training
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Overview of modern libraries: NLTK, spaCy, Hugging Face Transformers
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Hands-on 1: Text preprocessing, keyword extraction, and NER using spaCy
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Hands-on 2: Fine-tune a pre-trained transformer (BERT) for text classification using Hugging Face
Day 3: Real-World Applications & Responsible AI
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Domain-specific NLP: Use cases in healthcare, legal, and education sectors
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Ethical NLP: Bias, fairness, and model transparency
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Explainable AI: Introduction to SHAP and LIME for NLP
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Hands-on: Analyze sentiment and interpret model predictions using SHAP on real-world datasets
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
This workshop is designed for:
- Academicians looking to integrate advanced NLP techniques into their research and teaching.
- PhD Scholars aiming to explore cutting-edge NLP methodologies and applications for their theses.
- Faculty Members seeking to enhance their expertise in natural language processing and apply it to domain-specific challenges.
- Professionals and researchers with a foundational understanding of NLP and a keen interest in advanced concepts, tools, and real-world applications.
Career Supporting Skills
Program Outcomes
Participants will:
- Master advanced NLP models and techniques.
- Build and optimize NLP pipelines for diverse applications.
- Design impactful research projects and proposals.
- Apply NLP solutions in specialized domains like healthcare, legal, and education.
- Address ethical challenges and biases in NLP.
- Explore emerging trends and opportunities in NLP research and applications.