TEXT Analysis with Python ( NLP) Training Course

TEXT Analysis with Python ( NLP) Certification Training 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.


TEXT Analysis with Python ( NLP) Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 3 Days (6 Days for 4 Hours/Day)
Fee : On Request
9 AM - 5 PM (Flexible Time Slots for 4 hours option)

Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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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.