Currently, big corpora, coming from Open Government Data projects, in several research areas, allow quickly to available a large number of documents. In the legal field, many information are stored and therefore made it necessary to develop a specific dictionary to classify text data. The paper aims to present the workflow to visualize and classify Big Legal Corpora, identifying the main steps of a chain process. The analyzed corpus is composed of 123,989 judgments, in Italian language, published by the Court of Audit, from 2010 to 2018.
Iezzi, D., Berte', R. (2020). Big Corpora and Text Clustering: The Italian Accounting Jurisdiction Case. In Text Analytics Advances and Challenges. SPRINGER.
Big Corpora and Text Clustering: The Italian Accounting Jurisdiction Case
IEZZI D.
;BERTE' R.
2020-01-01
Abstract
Currently, big corpora, coming from Open Government Data projects, in several research areas, allow quickly to available a large number of documents. In the legal field, many information are stored and therefore made it necessary to develop a specific dictionary to classify text data. The paper aims to present the workflow to visualize and classify Big Legal Corpora, identifying the main steps of a chain process. The analyzed corpus is composed of 123,989 judgments, in Italian language, published by the Court of Audit, from 2010 to 2018.| File | Dimensione | Formato | |
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