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Workshop for participants with no prior knowledge of Python and text mining.

Text mining methods are used to automatically extract structured information from large amounts of texts. The workshop provides a first, practical introduction to the topic. Together we will analyze the abstracts of scientific articles. As a tool we will use the Python library Natural Language Toolkit to tokenize the texts, remove stop words and finally generate visualizations of the words which are characteristic for these abstracts. As development environment, we will use the open source software Jupyter Notebook, popular in the data science field, to run our software code and display its results.

  • How do I use a Jupyter notebook to run Python code while documenting my workflow at the same time in a meaningful way?
  • Where can I find suitable scientific text material that I can analyze automatically?
  • How do I extract the contents of a specific column from a csv file for subsequent analysis?
  • How do I use the Python library Natural Language Toolkit (NLTK) to prepare texts for a text mining analysis?
  • How do I determine word frequencies with the NLTK and then visualize them in the form of a diagram or word cloud?

You will get answers to these questions in the workshop and can apply your new knowledge directly on practical examples. After the workshop, you can use your self-created Jupyter notebook to repeat the analyses on your own text documents.
Please install the Python distribution Anaconda (https://www.anaconda.com/products/individual) on your computer before the workshop starts. Anaconda serves as a platform for managing the required Python libraries nltk, numpy, matplotlib, and wordcloud, as well as the Jupyter notebook software. Instructions can be found here: https://hessenbox.tu-darmstadt.de/getlink/fiCPbdzbLkfZMYZdMdAKqZ3P/Installationsanleitung_Freigabe. The installation guide is available in PDF format (German and English) and as a video file (German), which all contain identical information. Additional documents can be found here: https://hessenbox.tu-darmstadt.de/getlink/fiRxyMMA9TeHiaKLFwd1yr9z/NLTK_Workshop_englisch. If you have any questions, please feel free to contact tdm@ulb.tu-darmstadt.de at any time.


Jens Freund & Andre Pfeifer (ULB)


This event takes place as part of the Hesse-wide event series "Fit für die Promotion". You can find the registration under https://eveeno.com/promotion-hessen.

Individual Offers

On request, the ULB also offers tailor-made events and consultations on this topic.


09. Januar 2023, 11:40-13:10


Online via Zoom. You will receive the access data by e-mail after registering via Eveeno.


Universitäts- und Landesbibliothek


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Workshop Text und Data Mining, careerservice, ULB, Python, NLTK, Text and Data Mining, online, Informationskompetenz, ulb-textunddatamining