Information Extraction from NLP

Points covered: 1. What is Information Extraction? 2. How can we extract the entitles? 3. Use case of Information extraction - Resume Shortlisting 4. Tools and Libraries used for extracting in the use case 5. Understanding text 6. Information Extraction Pipeline 7. Models for Information Extraction a. Rule-based models b. Probabilistic models 8. Model Evaluation 9. Proposed solution 10. Training Data Watch the full video to know Information Extraction with NLP on the use case of Resume shortlisting.

Sarveshwaran Rajagopal is a certified Data Scientist from IIT Stuart School of Business, Great Lakes Institute of Management, and Bits Pilani. He specializes in using data-driven strategies and advanced analytics to help businesses grow. With expertise in Data Science, Business Intelligence, Business Analytics, Computer Vision, NLP, and Team Management, he has helped mentor 840+ learners with an overall 1065+ mentoring hours to working professionals in the areas of Machine Learning and Deep Learning. Sarveshwaran is currently working as a Data Science Specialist at LTIMindtree.