Quran Wordnet: A Framework for Semantic and Sentiment Search

Document Type

Conference Proceeding

Source of Publication

2023 7th IEEE Congress on Information Science and Technology (CiSt)

Publication Date

12-22-2023

Abstract

Quran is a source of guidance with diverse and complete knowledge for mankind. Performing a subjective search in a Quran knowledge base is a non-trivial task. This article focuses on developing Quran WordNet and searching techniques that can provide appropriate results from the Quran knowledge base. Existing search engine techniques focus on keyword-based searching along with English WordNet, which led to often irrelevant results. In this framework, a synonym-based search is introduced to perform sentiment and semantic-based searches for retrieving the most relevant translation of verses. Both sentiment and semantic-based approaches improved the relevant retrieval of results and calculated the sentiment and polarity of the user query. A Quran WordNet will also be a baseline for developing vocabulary and separate ontology. Promising results are reported using Quran WordNet and Part of Speech Tagger for sentiment analysis and concept-based retrieval.

ISBN

978-1-6654-6133-7

Publisher

IEEE

Volume

00

First Page

24

Last Page

32

Disciplines

Computer Sciences | Islamic Studies

Keywords

Quran Knowledge Base, Sentiment Analysis, Semantic Search, WordNet, Part of Speech Tagger

Indexed in Scopus

no

Open Access

no

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