Natural language Processing

What is this course about?

Natural Language processing is one of the Narrow Application of Artificial Intelligence for Languages. Nearly 60% of the total data collected all over the world are text data with several insights in it and Natural Language Processing will help us in mining those insight from it. Not only just collecting insights NLP also help us to build system that learns languages from those data.

This course will introduce you with several Algorithms for processing sequential Languages.

What are the course objectives?

At End Of This information Training By Relearn Pro You Will Be Able To,

• Pre-Processing Text data.
• Classifying Text corpus.
• Translating between Languages.
• Language Modelling.

Who should do this course?

This Training Will Be Suitable For,

• Fresh Graduates
• Job Seekers
• IT Professionals

Prerequisite: Basic knowledge on Testing Concepts

Job Opportunity for information?

Natural Language Processing-information Tools An Endless Technology Which Is Used By It Companies Day-By-Day. So Learning information Will Open Lot More Opportunities In The Start Up Company’s Also

Course Duration Information

Program Schedule

• Mode: Face to face training in batches with a maximum batch size of 5
• Total number of hours: 60 hours; Weekday Classes; 2 hours/ Day; 5days/Week

Part 1: Introduction and Basics

• Natural Language Processing.
• Basics of Text Processing.
• Python for Text Analysis.
• Word Features.

Part 2: Classical methodologies.

• POS Tagging.
• Language Modelling.
• Frequency Distribution
• Bi-grams
• Regular Expression.
• Tokenization.
• Normalization.
• Syntax & Semantics.
• Text Summarization & Classification.
• Naive Bayes

Part 3: Basics for NLP using Deep Learning.

• Word Embeddings
• Depth and Layer Connections.
• Dropouts.
• Attentions.
• Assembling.
• Hyperparameter Optimization.
• LSTM Tricks.

Part 4: NLP using Neural Networks.

• Recurrent Neural Networks
• Long Short-Term Memory.
• Gated Recurrent Network.
• Seq2Seq Network.
• Neural Machine Translation.

Part 5: Task Based Practices

• Sequence Labelling.
• Natural Language Generation.
• Neural Machine Translation.

Part 6: Conclusion

• Multi-Task Learning Problems.
• How to Proceed Further.

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from Relearn Pro) will verify and issue information Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.