NLP is an emerging domain and is a much-sought skill today. This course enables students at zero to gain advanced expertise and be industry ready.
Text Understanding
Word forms : Morphology,Diversity,paradigms;
Structures and Meaning : Lexical Knowledge
Phonetics and Phonolgy, Morphology,
Lexical Analysis, Semantic Analysis , Pragmatics
Text Processing
Word and sentence tokenisation,
Regex Applications
Wordnet and webscraping ,
Stanford Core NLP,
NLTK, Spacy, Frequency Distribution,
N Gram analysis
Stemming, Lemmatisation, Parsing,
Wordnet, Pos tagging
Text Modelling
N Gram Models, Smoothing, Backoff, Interpolation
TFIDF and Supervised Classification with word2vector
Clustering and Latent Semantic Analysis
Classical NLP
Wordnet, Pos tagging
POS tagging – Fundamental principals, challenges, accuracy
HMM, Viterbi, Forward and backward pass, baum welch algorithm
Chunking, Probabilistic parsing,
ambuguity parsing, Constituency parsing,
NLP applications I
Question answering(chatbot)
Machine Translation – the problem, State of art, challenges
Stastical Machine Translation
Email Author Identification
Named entitiy Recognition
Neural Machine Translation
NLP applications II
Neural Machine Translation
Information Extraction, Summarisation,
Summarisation, question answering
Word sense disambiguation implementation using practice code
Text similarity on Quora using semantic similarity measures
Discourse Representation Theory
Text Understanding
Word forms : Morphology,Diversity,paradigms;
Structures and Meaning : Lexical Knowledge
Phonetics and Phonolgy, Morphology,
Lexical Analysis, Semantic Analysis , Pragmatics
Text Processing
Word and sentence tokenisation,
Regex Applications
Wordnet and webscraping ,
Stanford Core NLP,
NLTK, Spacy, Frequency Distribution,
N Gram analysis
Stemming, Lemmatisation, Parsing,
Wordnet, Pos tagging
Text Modelling
N Gram Models, Smoothing, Backoff, Interpolation
TFIDF and Supervised Classification with word2vector
Clustering and Latent Semantic Analysis
Classical NLP
Wordnet, Pos tagging
POS tagging – Fundamental principals, challenges, accuracy
HMM, Viterbi, Forward and backward pass, baum welch algorithm
Chunking, Probabilistic parsing,
ambuguity parsing, Constituency parsing,
NLP applications I
Question answering(chatbot)
Machine Translation – the problem, State of art, challenges
Stastical Machine Translation
Email Author Identification
Named entitiy Recognition
Neural Machine Translation
NLP applications II
Neural Machine Translation
Information Extraction, Summarisation,
Summarisation, question answering
Word sense disambiguation implementation using practice code
Text similarity on Quora using semantic similarity measures
Discourse Representation Theory
Classes are conducted on Zoom calls with 24*7 unlimited access to recordings for 9 months
2 weeks no questions asked full refund plus no cost EMI available with our partners.
Our curriculum is continuously monitored, reviewed and updated by Industry experts
Receive a course completion certificate from supervisedlearning.com valued by Industry experts.
I have successfully made a career transition into DL. Thanks to lively teaching and practical examples which helped me solve any problems and improved my problem-solving capabilities. The data tales provided were some of the best things I have ever seen.
As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course.
This is the best course for NLP
Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship.  His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.
The way of teaching and the course materials are really great. I got an internship in a leading company that specializes in Speech recognition after doing the NLP 100 hours course. The course materials and the structure of the course are akin to what a master’s course in NLP would provide.
I have successfully made a career transition into DL. Thanks to lively teaching and practical examples which helped me solve any problems and improved my problem-solving capabilities. The data tales provided were some of the best things I have ever seen.
As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course.
This is the best course for NLP
Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship.  His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.
The way of teaching and the course materials are really great. I got an internship in a leading company that specializes in Speech recognition after doing the NLP 100 hours course. The course materials and the structure of the course are akin to what a master’s course in NLP would provide.
Attend the interactive live classes from anywhere and also get access to recordings of the classes for future reference.
Get access to our PPTs, Class notes, Hands-on workbooks, assignments, etc in one place.
Assistance is available for all our students through our slack channel where are mentors are always available to clear doubts and provide any support needed.
Our assignments are meant to reinforce the concepts and help students get a firm grip on the subject.
A unique offering where we cherry-pick relevant and existing industrial problems, solve them, extract insights, and give it to you in the form of a holistic data story with code and explanation.
With communication over multiple channels including live class, emails, chat support, 1-1 sessions, our personalized mentoring is the best in the industry.
A collection of talks with real data scientists who delve deep into the problems that they have solved in their industries to enrich the students’ perspective and understanding.
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