Prepare for a career in the NLP space through 5 core projects designed to accelerate your mastery to intermediate levels.
Problem Scenario :
Unstructured data(text) presents challenges that are not easily overcome using data science and machine learning techniques for structured data. Almost all organizations that interact with consumers or stakeholders, including patient care in hospitals generate tons of textual data that potentially hold game-changing insights for the organization. As a result, the demand for NLP professionals has steadily increased across all industry domains
Aim :
This project portfolio is designed to take participants from beginner to intermediate levels of mastery in using NLP to process and model unstructured data (text). Working through 5 projects, participants will gain mastery of the NLTK package and Transformers for data preprocessing, transformation, and analytics
Participants in this project will work in core teams to clean text data and data transformation techniques to improve model performance
What you will learn :
Text data cleaning and preprocessing
Feature representation and context preservation
Implement sentiment analysis
Implement named Entity Recognition models
Implement multiple recommendation systems