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[Online] GGS-Workshop: Text Mining

Wann

13.09.2021 von 10:00 bis 16:00 (Europe/Berlin / UTC200)

Name des Kontakts

Telefon des Kontakts

0641-99 21370

Teilnehmer

Doctoral candidates and postdoctoral researchers at GGS

Termin zum Kalender hinzufügen

iCal

Instructor: Professor Dr Nicolas Pröllochs
Dates: September 13, 2021, 10:00 am – 4:00 pm

Max. participants:

12
Course language: English
Registration Deadline:

September 3, 2021

ECTS: 1

Objectives

The main objectives of this course are:

    1. Understand the basic concepts of text mining and its real-world relevance
    2. Gain an overview of different methods, algorithms, and software tools for extracting knowledge from unstructured text data
    3. Practice the implementation of text mining applications in R.


Content & methods

The digital age has ignited a burst in the volume of textual materials available to the public. Common examples include blog entries, posts on social media platforms, user-generated reviews, descriptions in recommender systems, and product advertisements in electronic commerce. Text mining provides computational techniques to derive actionable insights from such unstructured data sources.

The workshop on “Text Mining in R” provides participants with an overview of a wide range of text mining methods, including exploratory text analysis and lexicon-based sentiment analysis. At the end of the course, participants will be familiar with the most important concepts, principles, and algorithms in text mining. The course focuses on the practical implementation of text mining in R.


Participation requirements

Participants of the workshop should have basic experience with R (e.g., data import, data manipulation). All relevant background knowledge can be acquired from the open-source book “R for Data Science” by Hadley Wickham (http://r4ds.had.co.nz/).


Further information will follow soon in the syllabus "Text Mining".