Semantic Capture Analysis in Word Embedding Vectors Using Convolutional Neural Network

Navarro-Almanza, Raúl; Licea, Guillermo; Juárez‐Ramírez, Reyes; Mendoza, Olivia

doi:10.1007/978-3-319-56535-4_11

Cited by 3 publications

(1 citation statement)

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“…Unlike traditional methods that use a precompiled word list containing hundreds of thousands of words, our method dynamically shapes semantic vectors only on the basis of the compared messages. Recent research in semantic analysis is usually adapted to automatically extract a semantic vector of words for a sentence [23]. With two messages T1 and T2, a set of words is formed with (15):…”

Section: Fig 2 Janus Extract From the Nominal Wordnet Hierarchymentioning

confidence: 99%

Semantic Analysis of Conversations and Fuzzy Logic for the Identification of Behavioral Profiles on Facebook Social Network

Chaabi¹,

Lekdioui²,

Boumediane³

2019

Int. J. Emerg. Technol. Learn.

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In this article we describe a new multi-agent approach for the accompaniment and follow-up of learners (tutoring) in collaborative social networks via network technologies. To assist learners in their collaborative learning process, the system we propose offers the possibility to identify the sociological behavioral’ profile of each learner on the basis of the automatic analysis of the asynchronous textual conversations exchanged between learners. To achieve our aims, we first describe the sociological profiles that we use in our model. Then, we expose the approach used for the semantic analysis of the messages exchanged (full text), as well as the proposed indicators for the determination of these profiles. After, we present the results of the implementation of the system developed as part of an experiment that we conducted with the students of the Master Program “Software Quality” in the Ibn Tofail University of Kenitra, Morocco. We did indeed obtain very good performances during tests on corpora of messages.

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Section: Fig 2 Janus Extract From the Nominal Wordnet Hierarchymentioning

confidence: 99%