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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
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The Institute
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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources

Text Mining

Barcelona Campus
May 18, 2020 - Jun 05, 2020
Natural Language Processing (NLP) field has gained increased attention in recent years because of impressive algorithmic advances in Deep Learning and significant progress in hardware.
Barcelona Campus
May 18, 2020 - Jun 05, 2020
Sergey Khoroshenkikh

Faculty

Sergey Khoroshenkikh

Senior Software Engineer at Yandex

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

60 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Corporate DevelopmentMobile InternetCharity WorkSoftware Development
OverviewCourse outlineCourse materialsPrerequisites

Overview

Natural Language Processing (NLP) field has gained increased attention in recent years because of impressive algorithmic advances in Deep Learning and significant progress in hardware.

Text Mining is a subset of NLP focused on unsupervised and semi-supervised algorithms of text analysis.

The course covers the main algorithms and concepts of Text Mining, including both “classical” methods from Information Retrieval domain (like TF-IDF and topic modeling) and modern Deep Learning architectures.

Learning highlights

  • What types of problems can be solved with Text Mining
  • Which algorithms are used for various Text Mining problems
  • How to use practical tools for Text Mining

Course outline

4 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Session 1

Introduction

Tuesday
2

Session 2

Language models and text classification

Wednesday
3

Session 3

Topic modeling

Thursday
4

Session 4

Word vectors

Prerequisites

This course is one of three in a wholistic series.

Students that have already taken MSL-111 and those with prior experience with HTML, CSS, and Javascript building simple web pages will be good candidates for this module.

Sergey Khoroshenkikh

Faculty

Sergey Khoroshenkikh

Senior Software Engineer at Yandex

Sergey Khoroshenkikh is a senior software engineer with eight years of experience in applied machine learning and data analysis. He graduated from the Moscow Institute of Physics and Technology in 2015. At Yandex, he has been working on large-scale machine learning solutions for web advertising as well as routing algorithms for Yandex Delivery.

Research/Academic Interests: Random graphs, complex networks

See full profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Text Mining

by Sergey Khoroshenkikh

Total hours

45 Hours

Dates

May 18 - Jun 05, 2020

Fee for single course

€1500

Fee for degree students

€750

How to secure your spot

Complete the form below to kickstart your application

Schedule your Harbour.Space interview

If successful, get ready to join us on campus

FAQ

Will I receive a certificate after completion?

Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.

Do I need a visa?

This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.

Can I get a discount?

Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.