• Title/Summary/Keyword: Text comparing

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Automatic Categorization of Islamic Jurisprudential Legal Questions using Hierarchical Deep Learning Text Classifier

  • AlSabban, Wesam H.;Alotaibi, Saud S.;Farag, Abdullah Tarek;Rakha, Omar Essam;Al Sallab, Ahmad A.;Alotaibi, Majid
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.281-291
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    • 2021
  • The Islamic jurisprudential legal system represents an essential component of the Islamic religion, that governs many aspects of Muslims' daily lives. This creates many questions that require interpretations by qualified specialists, or Muftis according to the main sources of legislation in Islam. The Islamic jurisprudence is usually classified into branches, according to which the questions can be categorized and classified. Such categorization has many applications in automated question-answering systems, and in manual systems in routing the questions to a specialized Mufti to answer specific topics. In this work we tackle the problem of automatic categorisation of Islamic jurisprudential legal questions using deep learning techniques. In this paper, we build a hierarchical deep learning model that first extracts the question text features at two levels: word and sentence representation, followed by a text classifier that acts upon the question representation. To evaluate our model, we build and release the largest publicly available dataset of Islamic questions and answers, along with their topics, for 52 topic categories. We evaluate different state-of-the art deep learning models, both for word and sentence embeddings, comparing recurrent and transformer-based techniques, and performing extensive ablation studies to show the effect of each model choice. Our hierarchical model is based on pre-trained models, taking advantage of the recent advancement of transfer learning techniques, focused on Arabic language.

A Comparative Study of the Theory of Ornament of Adolf Loos and Antonio Gaudí (아돌프 로스와 안토니 가우디의 장식론에 대한 비교 연구)

  • Han, Sang-Hoon;Chang, Yong-Soon
    • Korean Institute of Interior Design Journal
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    • v.27 no.3
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    • pp.41-48
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    • 2018
  • This thesis is a paper comparing Adolf Loos and Antoni Gaudí's 'theory of ornament', based on their text. Adolf Loos and Antoni Gaudí are architects who had worked from late 19c, just before advent of Modernism architecture, to early 20c. When 'ornament' had started to be excluded from architecture according to development of industrialization and capitalism, Loos and Gaudí have both written about 'ornament.' Generally, Loos is known to have possessed rational mind and designed modern building with no ornament, and Gaudí is known to have possessed romantic mind and used splendid ornaments. For those reasons, it was assumed that two architects would have contrast opinions regarding ornaments. However, analysis of two architects' major text reveals that their theories of ornament are fundamentally analogous. Loos and Gaudí both argue dissolution of past normative 'ornament' and claims that rational 'ornament' that fits modern time is possible. Interestingly, intentionally adopted ornaments exist considerably in architecture of Loos. On the other hand, in Gaudí's architecture, there are many points where Gaudí had restrained ornaments. This thesis organizes similarity and differences of two architects' 'theory of ornament' through their texts and works. Moreover, this thesis suggests that then today's architecture aims to restart a debate on 'ornament', it is worth reviewing texts of Loos and Gaudí.

Effects of Presentation Modalities of Television Moving Image and Print Text on Children's and Adult's Recall (TV동영상과 신문텍스트의 정보제시특성이 어린이와 성인의 정보기억에 미치는 영향)

  • Choi, E-Jung
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.149-158
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    • 2009
  • Major purpose of this study is to explore effect of presentation modalities of Television and print on children's and adult's recall. So An experiment was conducted by comparing children's and adults' recall of information stories presented in three different modalities: "television moving Image1(auditory-visual redundancy)", "television moving Image2(auditory-visual redundancy)" and "print text". Results indicated that children remembered more infornation from the television moving Image than from print versions regardless of auditory-visual redundancy. But for the adults advantage of television was only found for information that had been accompanied by redundant pictures in television moving Image, providing support for the dual-coding hypothesis.

Usefulness of RDF/OWL Format in Pediatric and Oncologic Nuclear Medicine Imaging Reports (소아 및 종양 핵의학 영상판독에서 RDF/OWL 데이터의 유용성)

  • Hwang, Kyung Hoon;Lee, Haejun;Koh, Geon;Choi, Duckjoo;Sun, Yong Han
    • Journal of Biomedical Engineering Research
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    • v.36 no.4
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    • pp.128-134
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    • 2015
  • Recently, the structured data format in RDF/OWL has played an increasingly vital role in the semantic web. We converted pediatric and oncologic nuclear medicine imaging reports in free text into RDF/OWL format and evaluated the usefulness of nuclear medicine imaging reports in RDF/OWL by comparing SPARQL query results with the manually retrieved results by physicians from the reports in free text. SPARQL query showed 95% recall for simple queries and 91% recall for dedicated queries. In total, SPARQL query retrieved 93% (51 lesions of 55) recall and 100% precision for 20 clinical query items. All query results missed by SPARQL query were of some inference. Nuclear medicine imaging reports in the format of RDF/OWL were very useful for retrieving simple and dedicated query results using SPARQL query. Further study using more number of cases and knowledge for inference is warranted.

Trend Analysis of the Agricultural Industry Based on Text Analytics

  • Choi, Solsaem;Kim, Junhwan;Nam, Seungju
    • Agribusiness and Information Management
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    • v.11 no.1
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    • pp.1-9
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    • 2019
  • This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

A Comparative Study of WWW Search Engine Performance (WWW 탐색도구의 색인 및 탐색 기능 평가에 관한 연구)

  • Chung Young-Mee;Kim Seong-Eun
    • Journal of the Korean Society for Library and Information Science
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    • v.31 no.1
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    • pp.153-184
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    • 1997
  • The importance of WWW search services is increasing as Internet information resources explode. An evaluation of current 9 search services was first conducted by comparing descriptively the features concerning indexing, searching, and ranking of search results. Secondly, a couple of search queries were used to evaluate search performance of those services by the measures of retrieval effectiveness. the degree of overlap in searching sites, and the degree of similarity between services. In this experiment, Alta Vista, HotBot and Open Text Index showed better results for the retrieval effectiveness. The level of similarity among the 9 search services was extremely low.

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A Study on the way of annotation in 『Sok-Mong-Gu Bun-Ju』(續蒙求分註) (『속몽구분주(續蒙求分註)』의 분주(分註) 방식 시고(試考))

  • Lee, Yeon-Soon
    • (The)Study of the Eastern Classic
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    • no.48
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    • pp.147-167
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    • 2012
  • This paper was investigated by comparing "Sok-Mong-Gu Bun-Ju"(續蒙求分註) and "Mong-Gu"(蒙求). As a result, "Mong-Gu" was organized around the person anecdotes, "Sok-Mong-Gu Bun-Ju" is annotated with the person anecdotes. So the text show an differences were found on the configuration. Thus It reveal that "Sok-Mong-Gu Bun-Ju" is a tome and convenient to use the report has been made by scholars can be clarified.

A Study on Comparison of Open Application Programming Interface of Securities Companies Supporting Python

  • Ryu, Gui Yeol
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.97-104
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    • 2021
  • Securities and investment services had the most data per company on the average, and used the most data. Investors are increasingly demanding to invest through their own analysis methods. Therefore, securities and investment companies provide stock data to investors through open API. The data received using the open API is in text format. Python is effective and convenient for requesting and receiving text data. We investigate there are 22 major securities and investment companies in Korea and only 6 companies. Only Daishin Securities Co. supports Python officially. We compare how to receive stock data through open API using Python, and Python programming features. The open APIs for the study are Daishin Securities Co. and eBest Investment & Securities Co. Comparing the two APIs for receiving the current stock data, we find the main two differences are the login method and the method of sending and receiving data. As for the login method, CYBOS plus has login information, but xingAPI does not have. As for the method of sending and receiving data, Cybos Plus sends and receives data by calling the request method, and the reply method. xingAPI sends and receives data in the form of an event. Therefore, the number of xingAPI codes is more than that of CYBOS plus. And we find that CYBOS plus executes a loop statement by lists and tuple, dictionary, and CYBOS plus supports the basic commands provided by Python.

Applications of Machine Learning Models on Yelp Data

  • Ruchi Singh;Jongwook Woo
    • Asia pacific journal of information systems
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    • v.29 no.1
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    • pp.35-49
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    • 2019
  • The paper attempts to document the application of relevant Machine Learning (ML) models on Yelp (a crowd-sourced local business review and social networking site) dataset to analyze, predict and recommend business. Strategically using two cloud platforms to minimize the effort and time required for this project. Seven machine learning algorithms in Azure ML of which four algorithms are implemented in Databricks Spark ML. The analyzed Yelp business dataset contained 70 business attributes for more than 350,000 registered business. Additionally, review tips and likes from 500,000 users have been processed for the project. A Recommendation Model is built to provide Yelp users with recommendations for business categories based on their previous business ratings, as well as the business ratings of other users. Classification Model is implemented to predict the popularity of the business as defining the popular business to have stars greater than 3 and unpopular business to have stars less than 3. Text Analysis model is developed by comparing two algorithms, uni-gram feature extraction and n-feature extraction in Azure ML studio and logistic regression model in Spark. Comparative conclusions have been made related to efficiency of Spark ML and Azure ML for these models.

Text Mining-Based Analysis of Customer Reviews in Hong Kong Cinema: Uncovering the Evolution of Audience Preferences (홍콩 영화에 관한 고객 리뷰의 텍스트 마이닝 기반 분석: 관객 선호도의 진화 발견)

  • Huayang Sun;Jung Seung Lee
    • Journal of Information Technology Applications and Management
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    • v.30 no.4
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    • pp.77-86
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    • 2023
  • This study conducted sentiment analysis on Hong Kong cinema from two distinct eras, pre-2000 and post-2000, examining audience preferences by comparing keywords from movie reviews. Before 2000, positive keywords like 'actors,' 'performance,' and 'atmosphere' revealed the importance of actors' popularity and their performances, while negative keywords such as 'forced' and 'violence' pointed out narrative issues. In contrast, post-2000 cinema emphasized keywords like 'scale,' 'drama,' and 'Yang Yang,' highlighting production scale and engaging narratives as key factors. Negative keywords included 'story,' 'cheesy,' 'acting,' and 'budget,' indicating challenges in storytelling and content quality. Word2Vec analysis further highlighted differences in acting quality and emotional engagement. Pre-2000 cinema focused on 'elegance' and 'excellence' in acting, while post-2000 cinema leaned towards 'tediousness' and 'awkwardness.' In summary, this research underscores the importance of actors, storytelling, and audience empathy in Hong Kong cinema's success. The industry has evolved, with a shift from actors to production quality. These findings have implications for the broader Chinese film industry, emphasizing the need for engaging narratives and quality acting to thrive in evolving cinematic landscapes.