Master Thesis NLP and Relational Web Data

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    About us: (istari artificial intelligence) is a fast-growing start-up data intelligence company based in Mannheim and Berlin. We develop webAI, an artificial intelligence-based tool that analyses business-related web data at high frequency. Based on webAI we provide real-time web-based company and market information that is used is used by government agencies, private companies and universities.

    Your tasks:
    In the context of the continuous development of our analysis engine webAI, a number of different
    challenges have to be addressed. These range from NLP analyses of web texts to the analysis of
    hyperlink networks. The goal of a master thesis should be a software solution that can be used
    productively. In the context of this development work, scientific questions related to method
    development or content-related (economic) topics can be addressed. Possible topics include, but are not limited to:
    ▪ Automated summary of web texts
    ▪ Automated assessment of the relevance of web content
    ▪ Identification of key players in company networks
    ▪ Geographical analysis of company locations
    ▪ Development of new web scraping solutions
    ▪ Trend analysis in time series web data

    Your qualifications:
    ▪ Experience with Python and Python libraries relevant to the specific research question (e.g. Scikit-learn, Gensim, Pytorch, Huggingface, NetworkX, pySAL, etc.)
    ▪ Capability to work independently, reliability, active communication and ability to work in a team

    What you can expect:
    ▪ Active participation in the development of a start-up in the field of web analytics and artificial
    ▪ Be part of a fast-growing start-up company
    ▪ Work in a young and dynamic team with flat hierarchies
    ▪ Independent work, e.g. by contributing and implementing your own ideas and projects

    We would like to employ you for at least 4 months. The master thesis can be completed as part of a paid internship. In this case we recommend a short pre-internship of 1-2 months before starting the master thesis.

    This position is available immediately with free choice of location (Mannheim, Berlin or remote).

    Please send applications and questions via e-mail to: Jan Kinne

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