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Intoduction to NLP Part 1
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Intoduction to NLP Part 2
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Applications of NLP 1
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Applications of NLP 2
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Applications of NLP 3
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Applications of NLP 4
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Applications of NLP 5
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Challenges Involved in NLP Part 1
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Challenges Involved in NLP Part 2
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Challenges Involved in NLP Part 3
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Steps involved in Overcoming the Challenges
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Lexical Processing- Stop words
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Lexical Processing Tokenizers
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Lexical Processing Stemming and Lammetization
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Lexical Processing Handson Part 1
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Lexical Processing Handson Part 2
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Lexical Processing Handson Notebook
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Lexical Processing Handson Part 3
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Steaming Lexical Processing Handson Notebook
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Syntactic Processing
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Syntactic Processing Lexicon Based POS Tagger
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Syntactic Processing Rule Based POS Tagger
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Hands on POS Taggers Part 1
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Hands on POS Taggers Part-2
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Hands on POS Taggers Part 3
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Hands on POS Taggers Part 4
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Hands on POS Taggers Part 5
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Regular Expressions Introduction
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Regular Expressions Hands on part 1
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Regular Expressions Hands on part 2
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Regular Expressions Hands on part 3
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Regular Expressions Hands on part 5
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Regular Expressions Hands on part -6
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Semantic Processing Part 1
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Semantic Processing Part 2
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Semantic Processing Part 3
Tutors
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DataTrained
PROGRAM OVERVIEW
What you'll learn
- Master the skills to get computers to understand, process, and manipulate human language
- Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more
- Deep Learning Modelling Techniques for human languages
CURRICULUM
Module 1
Module 2
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Deep Learning Inro
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Structure of Neural Network Part 1
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Structure of Neural Network Part 2
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Structure of Neural Network Part 3
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Structure of Neural Network Part 4
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Structure of Neural Network Part 5
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Arranging perceptrons to build Atrificial Neural network
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Classification Topology
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Regression Topology
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Mandatory parameters for specifying ANN
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Inputs of Neural Network Part 1
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Inputs of a Neural Network Part 2
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Outputs of a Neural Network Part 1
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Outputs of a Neural Network Part 2
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Assumptions of Neural Netwrok
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What is Training of a Neural Network
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Standard Notations for Parameters in a Neural Network Part 1
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Standard Notations for Parameters in a Neural Network Part 2
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Activation Function and Selection
Module 3
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Occurrence Matrix
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Merits and demertits of Occurrence matrix
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Introduction on CoOccurrence matrix
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Continued Session on CoOccurrence matrix
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Word Vectors
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Word Embedding
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LSA Introduction
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LSA Indepth
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LSA Complete
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LSA Merits and demerits
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LSA Python Handson Exercise
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SkipGram Introduction
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Continued Skipgram
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Mathematical Explanation
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Website Demo on Word Embedding
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Word2Vec Introduction
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Word2Vec Handson Part 1
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Word2Vec Handson Part 2
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Word2Vec Handson Part 3
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Word2Vec Handson Complete
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Glove Handson
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Building Text Classification Using Word Embedding Part 1
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Building Text Classification Using Word Embedding Part 2
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Building Text Classification Using Word Embedding Part 3
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SPAM HAM Classifier using RNN vs Word Embeddings
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Python NoteBook of the HandsOn
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Python NoteBook of Text Classification Video Series
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Training Data
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Test Data
Module 4
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Introduction to Sentiment Analysis
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Sentiment Analysis Hands On Part 1
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Sentiment Analysis Hands On Part 2
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Sentiment Analysis Hands On Part 3
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Sentiment Analysis Hands On Part 4
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Sentiment Analysis Hands On Part 5
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Sentiment Analysis Hands On Part-6
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Sentiment Analysis Hands On Part 7
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Sentiment Analysis Hands On Part 8
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Sentiment Analysis Hands On Part 9
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Sentiment Analysis Hands on Notebook
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Kaggle Dataset Download Link