The course takes place in period

3 (2020-01-01 to 2020-03-22)

Level/category

Professional studies

Teaching language

Swedish

Type of course

Compulsory

Cycle/level of course

First

Recommended year of study

3

Total number of ECTS

5 cr

Competency aims

Much of the most valuable data and information resides in textual form. This course aims to provides thrid year analytics students an opportunity to get familiar with methods and techniques for text processing and text analysis, and to develop their project work skills. The course will help students to build competences in analyzing unstructured data.

Learning outcomes

Students will get familiar with important topics and basic concepts, method and techniques in text anaysis, and develop hands-on experience with natural language processing tools: ? Obtain knowledge of basic text processing and text analysis functions ? Develop skills with NLP programming ? Be able to deliver results on small text analysis projects

Course contents

Course Introduction, iPython Notebook, NLTK Text and Tokenization POS and Tagging Term Weighting and Key phrase extraction Text clustering or Text Classification Assignments and Course project Course project presentation

Recommended or required reading

The course book Natural Language Processing with Python is free online. (http://www.nltk.org/book/) It accompanies the NLTK software, which we will be working with. NLTK 3.0 documentation (http://www.nltk.org/index.html)

Mode of Delivery

Participation in tuition

Assessment requirements

To pass the course students should deliver and pass the following tasks: ? Two assignments (multiple exercises, individual work) ? Course project (group work)

Teacher

  • Ginter Filip
  • Kanerva Jenna
  • Rönnqvist Samuel
  • Karlsson Jonny

Examiner

Karlsson Jonny

Home page of the course

https://arcada.itslearning.com/

Group size

No limit (27 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2019-12-24 to 2020-01-20
Room reservations
Date Time Room Title Description Organizer
2020-01-31 13:00 - 18:00 Deskriptiv analytik - Data/Text mining (i F249, lilla auditoriet) Ginter Filip
Rönnqvist Samuel
2020-02-07 11:00 - 16:00 E387 Deskriptiv analytik - Data/Text mining
2020-02-14 13:00 - 18:00 Deskriptiv analytik - Data/Text mining (i F249, lilla auditoriet) Ginter Filip
Rönnqvist Samuel
2020-02-21 11:00 - 16:00 E387 Deskriptiv analytik - Data/Text mining
2020-02-28 13:00 - 18:00 Deskriptiv analytik - Data/Text mining (i F249, lilla auditoriet) Ginter Filip
Rönnqvist Samuel
2020-03-06 11:00 - 16:00 E387 Deskriptiv analytik - Data/Text mining

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