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/ External link)
It accompanies the NLTK software, which we will
be working with.
NLTK 3.0 documentation
(http://www.nltk.org/index.html External link)

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

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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