Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)

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Using Semantic Networks for Text Classification in Education: “Generating Tailored Questions for Students”

Authors
Badr Touis1, *, Souhaib Aammou1, Oussama EL Warraki1, Jalal Lahiassi1
1Abdelmalek Essaadi University, S2IPU, Tétouan, Morocco
*Corresponding author. Email: badrtouis@gmail.com
Corresponding Author
Badr Touis
Available Online 5 February 2024.
DOI
10.2991/978-94-6463-360-3_5How to use a DOI?
Keywords
Semantic networks; Text classification; knowledge representation; Machine learning (ML)
Abstract

This paper discusses how semantic revolution can be used to represent textual data for text classification purposes. Text classification includes automat- ically classifying text data into predefined classes or categories, such as positive or negative sentiment, or articles categorized into different topics. The paper de- scribes the method of using semantic networks to classify knowledge, including steps such as collecting and preprocessing text data sets, representing text data in the form of semantic networks, and training algorithms. Machine learning on a semantic network, which uses algorithms to classify new textual data and gener- ate questions based on categorical output. The article also includes Python exam- ples for some of the steps involved in the methodology. The paper highlights the power of semantic networks as a tool for knowledge representation and manipu- lation in AI and related fields.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
5 February 2024
ISBN
10.2991/978-94-6463-360-3_5
ISSN
2667-128X
DOI
10.2991/978-94-6463-360-3_5How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Badr Touis
AU  - Souhaib Aammou
AU  - Oussama EL Warraki
AU  - Jalal Lahiassi
PY  - 2024
DA  - 2024/02/05
TI  - Using Semantic Networks for Text Classification in Education: “Generating Tailored Questions for Students”
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 36
EP  - 42
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_5
DO  - 10.2991/978-94-6463-360-3_5
ID  - Touis2024
ER  -