Abstract
The paper presents an online system for clustering and classification of texts in the Polish language. It allows running complex workflows of language and machine learning tools. A high throughput and low latency was achieved by an asynchronous style of programming and a usage of message oriented middleware—RabbitMQ. Authors discuss the architecture assumptions, the language processing modelling notation for a workflow definition and the system architecture. Moreover, a sample Single Page Application is presented that clusters uploaded corpora and shows results online.
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Walkowiak, T. (2016). Asynchronous System for Clustering and Classifications of Texts in Polish. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_46
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DOI: https://doi.org/10.1007/978-3-319-39639-2_46
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