Certification in Natural Language Processing (NLP)

Learn Natural Language Processing Concepts, complete process, application and coding for any data science enthusiast


What you'll learn
You will learn the key concepts in Natural Language Processing (NLP), starting with an introduction to NLP and its foundational principles.
The course covers text representation and feature engineering, which are crucial for understanding and manipulating textual data
You will delve into text classification methods, which are essential for categorizing and organizing text.
The course includes named entity recognition (NER) and part-of-speech (POS) tagging, both of which are vital for extracting meaningful information from text.
You will be able to learn about syntax and parsing, including their roles in understanding and analyzing the structure of sentences.
Details about sentiment analysis and opinion mining, as well as machine translation and language generation
Learn about machine translation and language generation, including techniques for translating text between languages and generating coherent and contextually
text summarization and question answering, focusing on methods for condensing long texts into concise summaries and building systems that can answer questions
You will explore advanced topics in NLP, which delve into cutting-edge research and applications in the field.
Learn about NLP applications and future trends, focusing on how natural language processing is utilized in various industries and exploring the latest advance
You will also learn about the role of NLP in various applications and its integration with different technologies.



Requirements
You should have an interest in Natural Language Processing (NLP) and its applications.
An interest in text representation and feature engineering. Text classification. Named Entity Recognition (NER) and Part-of-Speech (POS) Tagging. Syntax and Parsing. Sentiment Analysis and Opinion Mining. Machine Translation and Language Generation. Text Summarization and Question Answering. Advanced Topics in NLP. NLP Applications and Future Trends. Capstone Project.
Be interested in getting the knowledge of sentiment analysis and opinion mining, machine translation and language generation, text summarization and question answering.
Have an interest in understanding NLP applications and future trends, advanced topics in NLP, and the capstone project.

Description

Description
Take the next step in your career as data science professionals! Whether you’re an up-and-coming data scientist, an experienced data analyst, aspiring machine learning engineer, or budding AI researcher, this course is an opportunity to sharpen your data management and analytical capabilities, increase your efficiency for professional growth, and make a positive and lasting impact in the field of data science and analytics.
With this course as your guide, you learn how to:
● All the fundamental functions and skills required for Natural Language Processing (NLP).
● Transform knowledge of NLP applications and techniques, text representation and feature engineering, sentiment analysis and opinion mining.
● Get access to recommended templates and formats for details related to NLP applications and techniques.
● Learn from informative case studies, gaining insights into NLP applications and techniques for various scenarios. Understand how the International Monetary Fund, monetary policy, and fiscal policy impact NLP advancements, with practical forms and frameworks.
● Invest in expanding your NLP knowledge today and reap the benefits for years to come.
The Frameworks of the Course
Engaging video lectures, case studies, assessments, downloadable resources, and interactive exercises. This course is designed to explore the NLP field, covering various chapters and units. You'll delve into text representation, feature engineering, text classification, NER, POS tagging, syntax, parsing, sentiment analysis, opinion mining, machine translation, language generation, text summarization, question answering, advanced NLP topics, and future trends.
The socio-cultural environment module using NLP techniques delves into India's sentiment analysis and opinion mining, text summarization and question answering, and machine translation and language generation. It also applies NLP to explore the syntax and parsing, named entity recognition (NER), part-of-speech (POS) tagging, and advanced topics in NLP. You'll gain insight into NLP-driven analysis of sentiment analysis and opinion mining, text summarization and question answering, and machine translation and language generation. Furthermore, the content discusses NLP-based insights into NLP applications and future trends, along with a capstone project in NLP.
The course includes multiple global NLP projects, resources like formats, templates, worksheets, reading materials, quizzes, self-assessment, film study, and assignments to nurture and upgrade your global NLP knowledge in detail.
In the first part of the course,
you’ll learn the details of the Indian business environment, Industrial policy and regulatory structures, its relation to the Economic and political environment of the business. Monetary policy and fiscal Policy.
In the middle part of the course, you’ll
learn how to develop a knowledge Socio cultural Environment, Legal environment. Foreign exchange management. Foreign trade and EXIM Policy.
In the final part of the course, you’ll
develop the knowledge related to the International Monetary funds, World Trade Organization and changes in business environment. Y
ou will get full support and all your quarries would be answered guaranteed within 48 hours.
Course Content:
Part 1
Introduction and Study Plan
● Introduction and know your

More Info