NATURAL LANGUAGE PROCESSING (NLP)
Dive into the world of Natural Language Processing with our specialized course, designed to equip you with the essential skills and knowledge to excel in this cutting-edge field. From mastering advanced algorithms to hands-on experience with libraries like Spacy and NLTK, this program covers all the fundamentals you need.
Learning Outcome
  1. Understand and apply different approaches to NLP tasks, and perform exercises in programming to understand the process of preparing datasets for NLP models.
  2. Gain a solid understanding of how NLP works, explore the algorithms behind it, and develop the skills to effectively collect and refine data.
  3. Learn to effectively use powerful NLP libraries like Spacy and NLTK, which are essential for performing a wide range of text processing tasks.
Learning Objective
Introduce the fundamentals of NLP. You will understand and apply different approaches to NLP tasks, and perform exercises in programming to understand the process of preparing datasets for NLP models.

You will use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document, and detects positive or negative sentiment. By the end of this module, students will be equipped with the essential NLP tools and techniques to solve common business problems that involve processing text.
Course Structure
  1. Introduction to NLP.
  2. Processing text for NLP.
  3. Representation of Language.
  4. Text Classification.
  5. Sentimental Analysis.
  6. Information Extraction.
  7. Topic Modelling.
  8. Chatbot.
Why This Program
This program provides an in-depth and immersive educational experience, designed to cover all critical aspects of Natural Language Processing (NLP). It combines foundational theory with hands-on, practical learning, ensuring you gain the skills and knowledge needed to apply NLP techniques in real-world situations.

Whether you're starting out or looking to enhance your expertise, this program will equip you with the tools to understand key algorithms, use advanced libraries, and tackle complex NLP tasks. By the end, you'll be fully prepared to excel in the evolving field of NLP, ready to handle diverse challenges with confidence.
Pre-requisite
  1. Basic knowledge of Python programming is required, Understanding of fundamental concepts in data science or machine learning would be beneficial, though not mandatory
Delivery Mode
Seminar / Face-to-Face
Duration
40 Hours
Course Code
CETA-TECH-103
Area of Interest
Technical
Tools/ Operating Systems
Windows 10 / 11 Operating System or later version (MAC OS is also supported)
About Trainer
Tawmo
AI&DS Lecturer
Ms. Tawmo is a Lecturer in Artificial Intelligence and Data Science at GCIT, with five years of teaching experience. Her master’s thesis on "Semantic Evaluation Approach for Text Summarization" in Natural Language Processing (NLP) highlights her expertise in advanced AI methodologies.
Mobile Application Development
Technical
Decentralise Application Development (Blockchain)
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Natural Language Processing (NLP)
Technical
Programming in Internet of Things (IOT) and Embedded Systems
Technical
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