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Recognition of Arabic Phonological Changes by Local Grammars in NooJ Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

The Data Scientist on LinkedIn: Job Advertisement Corpus Processing with NooJ

verfasst von: Maddalena della Volpe, Francesca Esposito

Erschienen in: Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications

Verlag: Springer International Publishing

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Abstract

For organizations using big data, one of the most important element to reach tangible results is exploiting human resources: it is not possible to manage data without using them intelligently. Considering the human intervention in relation to big data, means calling into question the so-called “data scientist”. Moving from the above, the main aim of this study is using the linguistic software environment NooJ to process a large corpus of job advertisements for data scientist in Italy collected on the business-networking site LinkedIn. Creating specific linguistic resources with NooJ, we are able to identify the most required skills by companies and organizations.
Searching the ideal candidate to hire, companies pay attention equally to technical skills and soft skills, in particular, as the capacity to work in team and communicate concerns. Finally, our research confirmed that studying the context in which the single words are inserted represents a key step in the process of information extraction by texts.

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Vorheriges Kapitel The Automatic Generation of NooJ Dictionaries from Lexicon-Grammar Tables
Nächstes Kapitel Mining Entrepreneurial Commitment in University Communication: Evidence from Italy
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Metadaten
Titel
The Data Scientist on LinkedIn: Job Advertisement Corpus Processing with NooJ
verfasst von
Maddalena della Volpe
Francesca Esposito
Copyright-Jahr
2020
Buch
Formalizing Natural Languages with NooJ 2019 and Its Natural Language Processing Applications

Print ISBN: 978-3-030-38832-4

Electronic ISBN: 978-3-030-38833-1

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-38833-1_7

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