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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), regardless of inflections. It is designed for researchers and teaching staff in the humanities and social sciences conducting text-based analyses. Automated lemmatization facilitates comparative analysis of large text collections and improves the consistency of search and evaluation results. Universities benefit from standardized text processing, which enhances the quality of linguistic research.

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 analysis in the context of Natural Language Processing (NLP)
  • Language technology research and application
  • Conference topics: Human-Computer Interaction & Artificial Intelligence (HL&AI)

Keywords

  • Lemmatization - Text analysis - NLP - Language processing - Word stem extraction - Morphology - Speech recognition - Text preprocessing - Language technology - Daidalos-Tool

Funding

Funding Provider: -
Funding Program: -
Funding Reference: Daidalos-Projekt
Funding Period: INSUFFICIENT
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 historical and cultural text analysis
  • Promotion of access to advanced NLP technologies for academic and cultural institutions

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 for research and application in the field of human-centered AI (HL&AI)
  • Promotion of accessibility and use of NLP technologies through interactive web tools
  • Organization of conferences such as CONFERENCE HL&AI 2026 to foster networking and further development in the NLP field

Contact

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

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

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