Latent semantic analysis and cosine similarity  for hadith search engine

Darmalaksana, Wahyudin; Slamet, Cepy; Zulfikar, Wildan Budiawan; Fadillah, Imam Fahmi; Maylawati, Dian Sa’adillah; Ali, Hapid

doi:10.12928/telkomnika.v18i1.14874

Cited by 9 publications

(7 citation statements)

References 17 publications

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“…2, it is obtained from the matrix U, which is an m * k-dimensional matrix and an n * k-dimensional V matrix, as shown in U and V. Thus, the situation in Eq. ( 2) can be reached [21].…”

Section: Regulation To Cobitmentioning

confidence: 93%

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Regulation Relatedness Map Creation Method with Latent Semantic Analysis

Huyut¹,

Meram²

2022

Computers, Materials &Amp; Continua

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Regulatory authorities create a lot of legislation that must be followed. These create complex compliance requirements and time-consuming processes to find regulatory non-compliance. While the regulations establish rules in the relevant areas, recommendations and best practices for compliance are not generally mentioned. Best practices are often used to find a solution to this problem. There are numerous governance, management, and security frameworks in Information Technology (IT) area to guide businesses to run their processes at a much more mature level. Best practice maps can used to map another best practice, and users can adapt themselves by the help of this relation maps. These maps are created generally by an expert judgment or topdown relationship analysis. These methods are subjective and easily creates inconsistencies. In order to have an objective and statistical relationships map, we propose a Latent Semantic Analysis (LSA) based modal to generate a specific relatedness correlation map. We created a relatedness map of a banking regulation to a best practice. We analyzed 224 statements of this regulation in relation to Control Objectives for Information Technologies (Cobit) 2019's 1202 activities. Furthermore, we support our LSA results with MCDM analysis methods; Fuzzy Analytics Hierarchy Process (FAHP) to prioritize our criteria and, WASPAS (Weighted Aggregated Sum Product Assessment Method) to compare similarity results of regulation and Cobit activity pairs. Instead of the subjective methods for mapping best practices and regulations, this study suggests creating relatedness maps supported by the objectivity of LSA.

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“…2, it is obtained from the matrix U, which is an m * k-dimensional matrix and an n * k-dimensional V matrix, as shown in U and V. Thus, the situation in Eq. ( 2) can be reached [21].…”

Section: Regulation To Cobitmentioning

confidence: 93%

“…Vector B can be thought of as the input of vector A. IAI is the length of vector A, and IBI is the length of vector between IAI and B. Thus, to be more precise, |B|, |A| It is a cross product between |B| and α can be expressed as the bridge between vector A and vector B [21].…”

Section: Calculating Cosine Similaritymentioning

confidence: 99%

Regulation Relatedness Map Creation Method with Latent Semantic Analysis

Huyut¹,

Meram²

2022

Computers, Materials &Amp; Continua

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“…The system recall results showed an algorithm testing value of 81% for the level of success in finding back information with an average time of 2.24 seconds. The failure of the system to retrieve some information can be caused by the ability of the local server and the amount of data that is processed [31].…”

Section: Testingmentioning

confidence: 99%

The search for science and technology verses in Qur’an and hadith

et al. 2021

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Currently, the Vector Space Model algorithm has been widely implemented for the document search feature because of its reliability in retrieving information. One of them in the search for verses of the Qur'an based on the translation. However, if the phrase or word used is different (even though it has one meaning) with the word in the document in the database, the system will not display the verse. As we know that the Qur'an has a very deep meaning, so an interpretation of the verse is needed. Therefore, this research focuses on implementing the Vector Space Model (VSM) algorithm for searching verses and hadiths in science and technology by using the discussion parameters of these verses or hadiths. The test results obtained with 20 keyword samples using metric recall were 81% with an average time of 2.24 seconds.

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“…Cosine Similarity provides competitive results, as well as lower levels of complexity and faster load times compared to LSA [20]. As one of the popular methods to be applied to the calculation of document similarity, Cosine Similarity cannot be affected by the length or shortness of a document because the term value of each document is considered principal [21], [22]. Cosine Similarity has proven to be successful in conducting automatic essay assessments using N-Gram [23] and WordNet [24].…”

Section: Introductionmentioning

confidence: 99%

Automatic essay assessment in e-learning using winnowing algorithm

Amalia

Lestari

Wijayaningrum

et al. 2022

IJEECS

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<span>The pandemic has caused almost all educational institutions to use online learning media to support learning activities. E-learning is a technology that is widely used because it can accommodate all learning activities. However, in general, e-learning can only perform automatic assessments for multiple choice answers but not for essay answers, so that manual assessment by the teacher becomes difficult and takes a long time. In this study, the winnowing algorithm was applied to the automatic assessment process on students' essay answers by measuring their similarity to the teacher's answer key. The stages in the automatic assessment using the winnowing algorithm begin with forming a series of k-grams, calculating the hash value, forming a window from the hash value, calculating the fingerprint value, and calculating the Jaccard Coefficient to obtain the percentage of text similarity results. The test results show that the winnowing algorithm can provide good performance when the answers to questions are in the form of short entries with the number of hashes not smaller than the window value. Meanwhile, on questions with long answers, the winnowing algorithm can still work well with an average difference of 5.2% from the results of the assessment carried out by the teacher.</span>

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Latent semantic analysis and cosine similarity for hadith search engine

Cited by 9 publications

References 17 publications

Regulation Relatedness Map Creation Method with Latent Semantic Analysis

Regulation Relatedness Map Creation Method with Latent Semantic Analysis

The search for science and technology verses in Qur’an and hadith

Automatic essay assessment in e-learning using winnowing algorithm

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