Natural Language Processing Strategies for Real-World Challenges

B.Sc.
M.Sc.

Art

Seminar

SWS

2

Zeitpunkt

Sommer 2024

Time: Mondays 16-18 o'clock

Location: The seminar takes place in the Digitalvilla (Karl-Marx-Str 69, 14482 Potsdam, in room 0.04).

The seminar will be held in English.

A maximum of 20 students can participate.

Natural Language Processing Strategies for Real-World Challenges LSWI

Termine

Seminar (Start: 15.04.2024)

Montags

16:00-18:00 Uhr

Karl-Marx-Str 69, 14482 Potsdam, in room 0.04)

Anmeldung

Registration is possible from the beginning of April via the teaching portal of the Department of Information Systems and Digital Society and also in PULS!

Registration Lehrportal Registration Puls

Moodle

Leistungsanforderung

  • Interim presentation
  • Project work with project report
  • Project work with project report

Anrechnung

  • Betriebswirtschaftslehre: Master (M.FS.BWL110, M.FS.BWL120)
  • Wirtschaftinformatik: Bachelor (BVMWI100-300); Master (MWI210, MWI361, MWI341, MWI370)
  • Informatik/ Computational Science: Master - Seminar im Bereich der angewandten Informatik
  • HPI (IT-Systems Engineering): Master - Seminar im Bereich der angewandten Informatik
  • Also suitable for political and administrative scientists

These are the main target groups; there may be other credit transfer options - please contact the lecturer and your academic advisor.

Inhalt und Durchführung

Contents

The seminar offers an overview of the methods of Natural Language Processing (NLP) and their application to real challenges in business and society. The combination of knowledge transfer and practical application, focussing on modern NLP methods, enables the participants to solve given problems independently:

Information Extraction (Retrieval and Extraction), Topic Modelling, Sentiment Analysis, Named Entity Recognition as well as rule-based and machine learning approaches.

As part of the seminar, participants create their own project work, which represents a holistic NLP application.

Learning objectives


Knowledge of current methods of Natural Language Processing
Are able to select suitable solution approaches for given problems
Are able to combine state-of-the-art technologies to solve real-world problems and implement them as prototypes.

Ansprechpartner

Folien

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