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Daidalos

Daidalos

Institution: -
Category: Project
Website: https://daidalos-projekt.de/

Short Description

The Lemmatization Service is used to normalize words into their base form (lemma) in order to reduce linguistic variability in texts. Target users are researchers and teaching staff in the humanities and social sciences conducting qualitative text analyses. The main benefit for universities lies in the standardized preparation of text data for automated analysis methods. This improves the reproducibility and comparability of research results.

General Description

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Thematic Classification

Subject Areas

  • Computer Science
  • Humanities

Research Fields

  • Natural Language Processing
  • Lemmatization
  • Sentiment Analysis
  • Named Entity Recognition (NER)
  • Embeddings
  • Text Analysis

Specializations

  • Lemmatization
  • Sentiment analysis
  • Named Entity Recognition (NER)
  • Embeddings
  • Text processing (NLP)
  • Language analysis
  • Text selection and processing
  • Research in language technology
  • Conference organization (HL&A 2026)

Keywords

  • Lemmatization - Text analysis - NLP service - Language processing - Word stem extraction - Language processing - Text preprocessing - Morphological analysis - Language technology - Open-source NLP

Funding

Funding Provider: -
Funding Program: -
Funding Reference: -
Funding Period: -
Project Volume: -

Team & Partners

Project Leadership

-

Involved Persons

  • Dr. Lena Weber (PostDoc)
  • Prof. Dr. Markus Hoffmann (Co-PI)
  • Dr. Tobias Klein (Employee)
  • Sarah Müller, M.Sc. (PhD candidate)
  • Lukas Becker, M.Sc. (PhD candidate)
  • Dr. Clara Schmidt (PostDoc)

Affiliated Institutions

-

External Partners

Keine externen Partner genannt

Project Contents

Goals

  • Development and provision of NLP tools for language analysis
  • Provision of functions for lemmatization, sentiment analysis, and named entity recognition (NER)
  • Support for research and application in the field of humanistic AI (HL&AI)
  • Promotion of access to advanced NLP technologies for academic and scientific users
  • Integration of language analysis into digital research processes through interactive web tools

Work Packages

  • WP1: Lemmatization (https://daidalos-projekt.de/lemma/)
  • WP2: Sentiment analysis (https://daidalos-projekt.de/sentiment/)
  • WP3: Embeddings (https://daidalos-projekt.de/embeddings/)
  • WP4: Named Entity Recognition (NER) (https://daidalos-projekt.de/ner/)

Methods

  • Lemmatization
  • Sentiment analysis
  • Named Entity Recognition (NER)
  • Embeddings (text representation)
  • Text selection (for processing)

Expected Outcomes

  • Development and provision of NLP tools for the German language
  • Provision of lemmatization functions for text analysis
  • Conducting sentiment analysis for German texts
  • Provision of Named Entity Recognition (NER) for structured text evaluation
  • Integration of embeddings for semantic text representation
  • Support of research and practice in language technology through open-source tools
  • Organization of specialist conferences such as HL&A 2026 to promote NLP research
  • Provision of resources and documentation for the scientific and technical community

Contact

Contact Person: -
Email: -
Project Website: https://daidalos-projekt.de/

Recorded: 2026-01-14
Source: https://daidalos-projekt.de/

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