Natural Language Processing
& Its Applications
Learn how to play with words! Use NLTK to understand and process text, and dive into deep learning with TensorFlow and Keras. It's like having a powerful toolbox for language magic, allowing you to easily make sense of words and build smart models for all sorts of language tricks. It's a fun and accessible way to explore the exciting world of Natural Language Processing!
Total Duration :
6 hours
Curated by Maxine Guerra & Joe Smith
Curated by
Rajiv Kanth
Data-Driven Strategic Consultant
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The learning path to the course
Module 1
NLP Concepts & its applications
Introduction to NLP & NLP Applications
NLP Challenges
NLP Pre-Processing Steps
NLP Feature Extraction
NLP Practical Example
Module 2
Beginning with Neural Network
Introduction to Neural Network
What are Optimizers & Loss Functions
Math Behind Feed Forward Neural Network
Backpropagation
Why Activation Functions in NN
Regression Scripting using Tensorflow
Classification Scripting using Tensorflow
How NLP Works
NLP systems use machine learning algorithms to analyze large amounts of unstructured data and extract relevant information.
The algorithms are trained to recognize patterns and make inferences based on those patterns. Here’s how it works:
- The user must input a sentence into the Natural Language Processing (NLP) system.
- The NLP system then breaks down the sentence into smaller parts of words, called tokens, and converts audio to text.
- Then, the machine processes the text data and creates an audio file based on the processed data.
- The machine responds with an audio file based on processed text data.
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