TEXT Analysis with Python ( NLP) Training Course

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TEXT Analysis with Python ( NLP) Course Overview

Natural language Processing (NLP) is the field of computer science and artificial intelligence which deals with the interaction of human languages with the computer. Specifically, how to program a computer so that it can analyze and process the large amount of the text. Since, the decade raw data is getting generated in a huge amount because of the advent of social media platform and multimedia. This data is called as BigData. Majority of this data is getting generated due to the interaction of humans with humans or machines on various platforms. So, By utilizing NLP, developers and data scientists can structure and organize knowledge to perform different tasks such as translation, relationship extraction and sentiment analysis. Instead of hard core coding the large set of rules, NLP relies on machine learning to learn these rules by analyzing the previous example of the text. NLP is used for Automatic Summarization, Named Entity Extraction, Sentence Segmentation etc.

 

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You will learn:

Module 1: Natural Language Basics
  • Natural Language
  • Linguistics
  • Language Syntax and Structure
  • Text Corpora
  • Natural Language Processing
  • Python Syntax and Structure
  • Data Structures and Types
  • Control flow
  • Functional Programming
  • Classes
  • Regex in Python
  • Text Tokenization
  • Text Normalization
  • Understanding Text Syntax and Structure
  • What is Text Classification?
  • Text Classification Blueprint
  • Text Normalization
  • Feature Extraction
  • Classification Algorithms
  • Evaluation Classification Models
  • Text Summarization and Information Extraction
  • Feature Matrix
  • Single Value Decomposition
  • Keyphrase Extraction
  • Topic Modelling
  • Automated Document Summarization
  • Information Retrieval
  • Feature Engineering
  • Text Similarity
  • Analyzing Term Similarity
  • Analyzing Document Similarity
  • Document Clustering
  • Clustering Greatest Movies of All Time
  • Semantic Analysis
  • Exploring WordNet
  • Word Sense Disambiguation
  • Named Entity Recognition
  • Analyzing Semantic Representation
  • Sentiment Analysis
Live Online Training (Duration : 24 Hours) 1100 + If you accept merging of other students. Per Participant
Group Training
05 Sep - 07 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 Oct - 05 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
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If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours for only USD 880
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Course Prerequisites
  • Basic Understadning  of Programming (Python)
  • Automated Content Generation.
  • Phone and computers support predictive text and handwriting recognition.
  • Performance Activity management at organizations like sales and customer care.
  • Text translation from one language to other language.
  • Text analysis helps in sentiment analysis from social media platform which will eventually help to understand the mind set of customers.
  • Chatbots and customer support are designed to mimic the human behavior to interact with the visiting customers.

 

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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
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