Course on
Natural Language
Processing
Explore the fundamental and advanced concepts of NLP and its role in current and emerging technologies. Gain a thorough understanding of modern neural network algorithms for the processing of linguistic information.
Key Features
Gain experience with handson exercises
Instructor led training
Flexibility of learning in class or online
Industry exposure – Use Cases
Learn by doing – Assignments, Tasks
Curriculum – par with Industry
Innovative Approach – Discussions, Quiz, webinar
Project Based Learning Approach
Capstone Projects
Solutions for your skill gaps
Upskilling and Level Setting
Dedicating mentoring sessions from industry experts
Career Support
Industry valued Certificate
Schedule
| Batch | Mode | Time | Fee | |
|---|---|---|---|---|
| Weekends/ Weekdays | Online Training Instructor Led | Flexible | INR 38000 | |
| Weekends/ Weekdays | Classroom Training | Flexible | INR 35000 | 9841557655 |
Prerequisite : Python, Data Science, Machine Learning, Deep Learning
Curriculum
N Gram Models, Bag of N grams, TF-IDF, word2vector, Smoothing, Interpolation, Clustering and Latent Semantic Analysis, Corpus, WordNet, Raw Text, Sourcing, web scraping, Regular expressions, and Normalization, Tokenization, Stemming, Lemmatization , Stopwords, Distance between two strings, NLTK , Spacy
POS tagging and Grammars, Context Free Grammars, Probabilistic CFG, Recursive CFG, Chunking, Sentence Parse, Dependency grammar, Projective Dependency
Information Extraction in Text- Classification, Named Entity Recognition, Creating, inversing, and using dictionaries, Segmenting sentences using classification
NLP pipeline, Text similarity problem, Resolving anaphora, Disambiguating word sense, Sentiment analysis, Chatbot
Classification of emails using deep neural networks after generating TF-IDF, IMDB sentiment classification using CNN, IMDB sentiment classification using bidirectional LSTM, Visualization of high-dimensional words in 2D with neural word vector visualization
Capstone Project – I
Capstone Project – II
Tools Covered
