Classification of Hadith Fi’li in Sahih Al-Bukhari Based on Contextual Understanding on the Pillars of Islam

Jamal, Ikmal Hafiz; Junaidi, Juliyana; Ghazali, Norzulaili Mohd; Mohd, Robiatul Adawiyah; Khassim, Noor Azma Mohammad; Ibrahim, Norhasnira; Hassan, Syed Najihuddin Syed; Samarah, Sajedah H A; Khalaf, Najm Abdul Rahman; Ahmad, Hishomudin; Malek, Akhdiat Abd; Salam, Rosalina Abdul

doi:10.1166/asl.2017.8948

Cited by 2 publications

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“…Amin et al (2017) proposed their work that relates and extracts the concept of medical sciences with hadith data. Jamal et al (2017) proposed a research work that extracts the hadith so the user can understand it in a better way with context to the five pillars of Islam.…”

Section: Related Workmentioning

confidence: 99%

KEFST: a knowledge extraction framework using finite-state transducers

Mahmood

Khan

Rehman

et al. 2019

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Purpose The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains. Design/methodology/approach This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results. Findings The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature. Originality/value This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

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Section: Related Workmentioning

confidence: 99%

KEFST: a knowledge extraction framework using finite-state transducers

Mahmood

Khan

Rehman

et al. 2019

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Agents of Economic Resilience and the Role of Islamic Approach Towards Financial Inclusion During the Covid-19 Pandemic: A Case of Pakistan

Kiran,

Athar,

Khan

2023

JPR

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In times of hyperinflation, these days Pakistan is confronted with health financing and food crises. It is essential to decrease the likelihood of food insecurity and economic vulnerability. This study aims to investigate the Vulnerability of society to pandemic shocks and the resilience of an Islamic nation such as Pakistan, as well as to investigate and identify the agents of Economic resilience in Pakistan. This study also investigated the function of Islamic financial inclusion strategies during pandemics. This study utilizes a variety of data categories and methods. The study's conclusion was reached using both primary and secondary qualitative and quantitative data. The study found that the majority of individuals are susceptible to such disruptions in terms of health, income, and social construction. The study revealed that there are numerous economic resilience agents in Pakistan, which play a significant role in bolstering support for small households and poor families. The analysis of quantitative data sets revealed that interventions or agents of change/resilience have had a significant impact on reducing hunger risk, infant deprivation, and other societal vulnerabilities. The conclusion of the study is that both formal and informal service providers contribute to enhancing the community's resilience through financial inclusion and a transitory support system. The conclusion of the study argues that the Islamic approach to financial transactions is more dependable and satisfactory for households and community-oriented organizations.

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Classification of Hadith Fi’li in Sahih Al-Bukhari Based on Contextual Understanding on the Pillars of Islam

Cited by 2 publications

References 0 publications

KEFST: a knowledge extraction framework using finite-state transducers

KEFST: a knowledge extraction framework using finite-state transducers

Agents of Economic Resilience and the Role of Islamic Approach Towards Financial Inclusion During the Covid-19 Pandemic: A Case of Pakistan

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