Natural Language Processing for Beginners
Data Think Labs
8 modules
English and Telugu
Lifetime access
Learn the basics of Natural Language Processing and apply it to real-world applications.
Overview
This course provides an introduction to Natural Language Processing (NLP) for beginners. NLP is a branch of artificial intelligence and computational linguistics that focuses on the interaction between computers and human language. Through this course, you will learn the fundamental concepts and techniques used in NLP, allowing you to analyze, interpret, and generate human language data. By the end of the course, you will have a solid foundation in NLP and be able to apply it to various real-world applications.
Key Highlights
Introduction to Natural Language Processing (NLP)
Fundamental concepts and techniques in NLP
Analyzing, interpreting, and generating human language data
What you will learn
Understanding NLP Fundamentals
Grasp the foundational concepts and theories behind Natural Language Processing.
Text Preprocessing and Tokenization
Learn how to preprocess textual data and divide it into smaller meaningful units, known as tokens.
Text Classification and Sentiment Analysis
Discover how to classify text and extract sentiment from written content.
Language Modeling and Text Generation
Explore techniques to build language models and generate new text based on existing data.
Named Entity Recognition and Entity Extraction
Gain insights into identifying and extracting named entities, such as persons, organizations, and locations, from text.
Modules
Introduction to Natural Language Processing
3 attachments
Overview of Natural Language Processing
Coming Soon
Applications of Natural Language Processing
Coming Soon
Challenges in Natural Language Processing
Coming Soon
Text Preprocessing
4 attachments
Tokenization
Coming Soon
Stop Word Removal
Coming Soon
Stemming and Lemmatization
Coming Soon
Part-of-Speech Tagging
Coming Soon
Language Models
3 attachments
N-grams
Coming Soon
Hidden Markov Models
Coming Soon
n-gram Language Model Implementation
Coming Soon
Word Embeddings
3 attachments
Introduction to Word Embeddings
Coming Soon
Word2Vec
Coming Soon
GloVe
Coming Soon
Named Entity Recognition
3 attachments
Introduction to Named Entity Recognition
Coming Soon
NER Techniques
Coming Soon
NER Evaluation Metrics
Coming Soon
Text Classification
4 attachments
Introduction to Text Classification
Coming Soon
Supervised Text Classification
Coming Soon
Unsupervised Text Classification
Coming Soon
Evaluation Metrics for Text Classification
Coming Soon
Sequence-to-Sequence Models
4 attachments
Introduction to Sequence-to-Sequence Models
Coming Soon
Encoder-Decoder Architecture
Coming Soon
Attention Mechanism
Coming Soon
Applications of Sequence-to-Sequence Models
Coming Soon
Language Generation
3 attachments
Introduction to Language Generation
Coming Soon
Text Generation Techniques
Coming Soon
Evaluating Language Generation Models
Coming Soon
FAQs
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Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
Data Think Labs
We at Data Think Labs are a collective of trainers, educationalists, technologists and entrepreneurs from IIT and BITS Pilani tracking the fast changing demands of the software industry to train the next generation of developers to be ethically conscious, confident and independent. We have already trained thousands of students in courses which are designed to cater to industry requirements, thus enabling students carve a great career for themselves.
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