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Project Based Text Mining in Python

Project Based Text Mining in Python

The basic operations related to structuring the unstructured data into vector and reading different types of data from the public archives are taught.

Overview

Description
In this course, we study the basics of text mining.

The basic operations related to structuring the unstructured data into vector and reading different types of data from the public archives are taught.

Building on it we use Natural Language Processing for pre-processing our dataset.

Machine Learning techniques are used for document classification, clustering and the evaluation of their models.

Information Extraction part is covered with the help of Topic modeling

Sentiment Analysis with a classifier and dictionary based approach

Almost all modules are supported with assignments to practice.

Two projects are given that make use of most of the topics separately covered in these modules.

Finally, a list of possible project suggestions are given for students to choose from and build their own project.



Basic knowledge
Basics of programming (Any language, python is a bonus)
Basic understanding of Machine Learning
Can code with lists, loops and conditions and have basic understanding of models learning patterns from data

Course Information

Basics of programming (Any language, python is a bonus)
Basic understanding of Machine Learning
Can code with lists, loops and conditions and have basic understanding of models learning patterns from data

What will you learn
In this course the students will learn the basics of text mining and will build on it to perform document categorization, document grouping and sentiment analysis
The practicals are carried out in Python language, Natural Language Processing (NLP) is used for pre-processing
Starting from a very small dummy dataset, we migrate to existing databases and then to building a database of your own to performed text mining tasks
Sentiment analysis of user hotel reviews

Beginners in python and curious about data science
Knows programming in Python and basic concepts of Data Science but cannot practically relate the two

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Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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