Natural Language Processing Fundamentals: Understanding Human Language with AI
Bridge the gap between human communication and computer understanding
Virtual (Google Meet)
Mentor Based
Advanced
3 Days
22 -March -2025
5 PM IST
About
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
Workshop 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.
Workshop Structure
Day 1: Introduction to NLP
- Understanding Language and AI
- An introductory overview of how machines understand human language.
- Examples of NLP in everyday technology: Siri, Google Translate, and customer service bots.
- Key Concepts and Terminology
- Basic concepts such as syntax, semantics, and pragmatics in the context of computational linguistics.
- Interactive Q&A
- A session to clear up any doubts and ensure a solid understanding of the basics.
Day 2: Techniques and Tools in NLP
- Exploring NLP Tools
- Introduction to popular NLP tools like NLTK and spaCy, and how they are used in processing language.
- Hands-On Demonstrations
- Simple demonstrations on how to use these tools to perform tasks like sentiment analysis and keyword extraction.
- Interactive Q&A
- Participants can ask specific questions about the tools and techniques demonstrated.
Day 3: Real-World Applications and Ethical Considerations
- Seeing NLP in Action
- Discussing real-world applications of NLP in various industries such as healthcare, finance, and education.
- Ethics in NLP
- Introduction to the ethical considerations in NLP, discussing potential biases in AI and how to mitigate them.
- Interactive Q&A and Closing Remarks
- Wrapping up with a discussion on the future of NLP and how participants can continue exploring this fascinating field.
Participant’s Eligibility
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.
Important Dates
Registration Ends
2025-03-22
Indian Standard Timing 4:00 pm
Workshop Dates
2025-03-22 to 2025-03-24
Indian Standard Timing 5 PM
Workshop 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.
Fee Structure
Student
INR. 1999
USD. 45
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Academician / Faculty
INR. 2999
USD. 55
Industry Professional
INR. 4999
USD. 75
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
Participants will gain skills to:
- Pursue academic and research roles in leading institutions.
- Work as NLP engineers, data scientists, or AI specialists in industry.
- Develop domain-specific NLP applications in healthcare, legal, and education sectors.
- Provide consultancy or launch startups leveraging advanced NLP technologies.
- Contribute to ethical AI policies and global NLP research collaborations.
Job Opportunities
Participants will be prepared for roles such as:
- NLP Research Scientist: Conduct advanced NLP research and publish in high-impact journals.
- AI/ML Engineer (NLP): Develop NLP-based systems like chatbots, sentiment analysis, and semantic search.
- Data Scientist (NLP): Process and analyze text data for actionable insights.
- Domain-Specific Roles:
- Healthcare: Clinical text mining and chatbot development.
- Legal: Automated contract analysis and compliance systems.
- EdTech: Tools for summarization and personalized learning.
- Emerging Roles: Ethics analyst, multimodal AI developer, and explainable AI specialist.
- Entrepreneurship: Build innovative AI-driven solutions in NLP applications.
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great knowledge about topic.