Abstract
In this paper we present Hermes, a novel tool for natural language processing. By employing an efficient and extendable distributed-message architecture, Hermes is able to fullfil the requirements of large-scale processing, completeness, and versatility that are currently missed by existing NLP tools.
Keywords
- Natural Language Processing
- Sentiment Analysis
- Message Queue
- Anchor Text
- Natural Language Processing Tool
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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In Greek mythology Hermes is the messenger of the gods. This is an allusion to our distributed-messaging architecture.
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© 2016 Springer International Publishing AG
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Bordino, I., Ferretti, A., Firrincieli, M., Gullo, F., Paris, M., Sabena, G. (2016). Hermes: A Distributed-Messaging Tool for NLP. In: Pardalos, P., Conca, P., Giuffrida, G., Nicosia, G. (eds) Machine Learning, Optimization, and Big Data. MOD 2016. Lecture Notes in Computer Science(), vol 10122. Springer, Cham. https://doi.org/10.1007/978-3-319-51469-7_33
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DOI: https://doi.org/10.1007/978-3-319-51469-7_33
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Online ISBN: 978-3-319-51469-7
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