Visualization of health-subject analysis based on query term co-occurrences

2008 ◽  
Vol 59 (12) ◽  
pp. 1933-1947 ◽  
Author(s):  
Jin Zhang ◽  
Dietmar Wolfram ◽  
Peiling Wang ◽  
Yi Hong ◽  
Rick Gillis
Keyword(s):  
2015 ◽  
Vol 5 (4) ◽  
pp. 31-45 ◽  
Author(s):  
Jagendra Singh ◽  
Aditi Sharan

Pseudo-relevance feedback (PRF) is a type of relevance feedback approach of query expansion that considers the top ranked retrieved documents as relevance feedback. In this paper the authors focus is to capture the limitation of co-occurrence and PRF based query expansion approach and the authors proposed a hybrid method to improve the performance of PRF based query expansion by combining query term co-occurrence and query terms contextual information based on corpus of top retrieved feedback documents in first pass. Firstly, the paper suggests top retrieved feedback documents based query term co-occurrence approach to select an optimal combination of query terms from a pool of terms obtained using PRF based query expansion. Second, contextual window based approach is used to select the query context related terms from top feedback documents. Third, comparisons were made among baseline, co-occurrence and contextual window based approaches using different performance evaluating metrics. The experiments were performed on benchmark data and the results show significant improvement over baseline approach.


2016 ◽  
Vol 1 (1) ◽  
pp. 43-52
Author(s):  
Sudirman

The purpose of this research is (1) analyze student’s concept in answering the association test, (2) analyze the concept of understanding  relationship  to  answer  the test depends on the student’s school origin.The method used in this research is qualitative with case study approach. In clustering sampling technique the subject was used in this research is 6 students, shared  in  3  groups.  They  are  2  students come from public vocational school, 2 students come from public senior high school and 2 students come from private senior high school and vocational school. Data was collected through test and interview.   Data   analysis   used   in   this research refers to Milles and Huberman in Moellong’s book; they are data reduction, data display and conclusion drawing. The result showed that the student’s understanding is various enough in answering the  set  test.  Depending on  the first subject analysis (S1) who came from private school, he did not understand about the concept of set. The second subject analysis (S2) and the third subject analysis (S3)  who  came  from  public  school,  they had understood. But, they need to be careful and patient to avoid the mistakes. The data which  had  gained from deeply interview, showed that the subject analysis (S1), (S2) and (S3) were able to indicate the relationship of school origin with the student’s concept of understanding within answering the set test.


1977 ◽  
Vol 27 (4) ◽  
pp. 771-778 ◽  
Author(s):  
V. Alan Spiker ◽  
Douglas Peter Ferraro

2021 ◽  
Vol 48 (3) ◽  
pp. 207-212
Author(s):  
Brian Dobreski ◽  
Jian Qin ◽  
Melissa Resnick

While historical cultural materials inform users of the past, they may also contain language that perpetuates long-entrenched patterns of discrimination. In organizing and providing access to such materials, cultural heritage institutions must negotiate historical language and context with the comprehension and perspectives of modern audiences. Excerpted from a larger project exploring representation and access around historical terminology and personal identity, the present work offers insight into how knowl­edge organization systems may be used to help modern users confront and make sense of past, discriminatory language in the archive. Using keywords drawn from the titles of 19th and 20th sideshow performer photographs, this work details the construction of a mapping dictionary that brings together corresponding terminology from several vocabulary sources along with annotations designed to explain historical terms to modern audiences. The development of this dictionary revealed several major types of problematic and potentially discriminatory language including historical euphemisms, misnomers, outdated terms, and sensationalist monikers. The finished dictionary offers opportunities to address these through explanatory annotations and to provide a richer, multi-perspective approach to subject analysis for these and other historical materials.


Author(s):  
Kenneth David Strang ◽  
Ferdinand Ndifor Che ◽  
Narasimha Rao Vajjhala

Researchers need to investigate global life-threatening problems tied to agriculture such as food insecurity and malnutrition pandemics. This chapter reviews empirical fact-based state-of-the-art literature underlying the agri-business adoption barriers and the agriculture food insecurity crises. The authors focus their effort on identifying the hot spots of global agriculture problems, in developing nations. They use critical analysis to identify the most pressing issues and controversies surrounding West Africa. They then explore empirical literature suggesting possible remedies and future research needs to resolve the agriculture problems, in a way that these concepts would generalize globally and be of interest to other scholars. They produce several conceptual models to assist future agriculture research scholars including keyword thematic diagrams, cross-case subject analysis, topic contingency analysis, and literature topic synthesis. They then focus on probable solutions and they create several conceptual models to summarize those. They close with recommendations for future research.


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