Project Details
Description
In this project we develop new methods for the automated analysis of natural language (Natural Language Processing, NLP) with a focus on the extraction and classification of information and sentiment analysis. The aim is to efficiently “understand” large amounts of text and systematically evaluate ratings.
The project improves the efficiency and accuracy of text analysis. Companies can automatically evaluate market trends and customer opinions and make data-based decisions. In this way, we are contributing to the further development of NLP and artificial intelligence in text analysis.
The project improves the efficiency and accuracy of text analysis. Companies can automatically evaluate market trends and customer opinions and make data-based decisions. In this way, we are contributing to the further development of NLP and artificial intelligence in text analysis.
| Acronym | FME |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/15 → 31/08/16 |
Collaborative partners
- Salzburg University of Applied Sciences GmbH
- Fact AI GmbH (lead)
Keywords
- Machine Learning
- Neuronal Networks
- Language Processing
Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)
- 102035 Data science
Applied Research Level (ARL)
- Not applicable
Research focus/foci
- Industrial Informatics
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