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Course Details

  • Course Overview
  • Course Objective
  • Who Can Benefit
  • Prerequisite
  • Syllabus

A complete course about Text Analysis and Natural Language processing

This course will take the participant to a complete understanding of the Text Analysis with machine learning also gives the immense Idea about how the computer understands the language and responds to it. This program is more towards the Practical approach of the NLP.
Any person who wants to work in NLP or wants to extend their knowledge to NLP.
  • The participant should be good in Machine learning.
  • The participant should have a good understanding of the Machine learning libraries
  • The participant should be good in python programming

Course Content

Day 1:

Artificial Intelligence: NLP

  1. Identify and mark sentence, phrase, and paragraph boundaries
  2. Language identification
  3. Tokenization
  4. Acronym normalization and tagging
  5. Lemmatization / Stemming
  6. Decompounding 
  7. Entity extraction – Regex, Dictionary etc
  8. Phrase extraction - Part of speech tagging, Statistical phrase extraction etc 
  9. NER
  10. Ontology/taxonomy extraction and creation
  11. Wordnet

Day 2:

Artificial Intelligence: NLP

  1. NLP exploratory analysis
  2. Morphological analysis of language
  3. Semantic analysis
  4. Dependency parsing.
  5. Extracting subject, object from paragraph.
  6. NLG
  7. Theme extraction
  8. Deep learning concepts specific to text mining.
  9. Writing scalable regular expression.
  10. Regular expression using Deep learning.
  11. Co-Referencing resolution

Day 3:

Artificial Intelligence: NLP

  1. Document Level
  2. Classifying / categorizing / organizing records
  3. Clustering records
  4. Extracting topics – Topic Modeling
  5. General sentiment analysis
  6. Record similarity, including finding similarities between different types of records (for example, job descriptions to résumés / CVs)
  7. Keyword / key phrase extraction
  8. Duplicate and near-duplicate detection
  9. Summarization / key sentence extraction
  10. Semantic search
  11. Word embedding

Day 4:

Artificial Intelligence: NLP

  1. Vectors, Word2Vec , Dimensionality Reduction, DIMSUM , Nearest Neighbor ,LDA, Classification Algorithms , Clustering Algorithms etc
  2. Extracting Facts, Entities, and Relationships
  3. Extracting acronyms and their definitions
  4. Extracting citation references to other documents
  5. Extracting key entities (people, company, product, dollar amounts, locations, dates). Note that extracting “key” entities is not the same as extracting “all” entities (there is some discrimination implied in selecting what entity is ‘key’)
  6. Extracting facts and metadata from full text when it’s not separately tagged in the web page
  7. Extracting entities with sentiment (e.g. positive sentiment towards a product or company)
  8. Identifying relationships such as business relationships, target / action / perpetrator, etc.
  9. Identifying compliance violations, statements which show possible violation of rules
  10. Extracting statements with attribution, for example, quotes from people (who said what)
  11. Extracting rules or requirements, such as contract terms, regulation requirements, etc.

Day 5:

Artificial Intelligence: NLP

  1. Language models
  2. Text prediction
  3. Text generation 
  4. LSTM for text classification and automatic text generation (NLG)
  5. Current Skill Level in the team – Beginner to Medium level for most of the people.



Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

Download the syllabus


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Our Enterprise Clients


  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
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Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

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