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Acquisition and Analyses of Lessons Learned from Social Network R&D Using Machine Learning

Authors:
Marco Javier Suarez Baron
Abdelraouf Ishtaiwi
Johan David Diaz Mendivelso

Keywords: Lexicon analysis; Semantic annotations; Machine Learning; Lessons learned; Social networks.

Abstract:
This article presents the development of a computational framework used for the extraction and recovery of lessons learned that have been extracted from academic and research related social networks; the lexical analysis applied is focused to Spanish language. The algorithm executes the lexical analysis using Natural Language Programming (NLP) techniques. The final result of the process shows that the use of this type of lexical and semantic analysis is a key component in tasks of social analysis, text mining and semantic enrichment.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2018

Publication date: June 24, 2018

Published in: conference

ISSN: 2519-8351

ISBN: 978-1-61208-648-4

Location: Venice, Italy

Dates: from June 24, 2018 to June 28, 2018