Machine Learning for text analysis
Budget: €5,000 – €10,000 EUR
We are EUDABA – a small, legal-tech startup from Germany with a focus on European law research. We have already released an MVP and plan to further expand the machine learning components in our product. Therefore we want to outsource the creation of basic machine learning algorithms. The job includes the following tasks:
• Structurizing of texts and preparation of text documents (our training datasets)
• Finding and rating the most fitting ML algorithms
• Creating a text processing pipeline using Flair, SpacY or NLTK
• Python and SQL used as the preferred languages
• Creation of a simple webinterface for internal purposes (creation of training data)
• Structurizing of texts and preparation of text documents (our training datasets)
• Finding and rating the most fitting ML algorithms
• Creating a text processing pipeline using Flair, SpacY or NLTK
• Python and SQL used as the preferred languages
• Creation of a simple webinterface for internal purposes (creation of training data)