2005 IEEE International Conference on E-Technology, E-Commerce and E-Service
DOI: 10.1109/eee.2005.2
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A Critiquing System to Support English Composition through the Use of Latent Semantic Analysis

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Cited by 2 publications
(2 citation statements)
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“…In their study, a majority of students (67%) expressed that the liberal studies curriculum-particularly key words and concepts such as'social justice', 'credibility of government', and'safeguarding the rule of law'-played an important role in their decision to join the movement (Fung & Su, 2016: 96-97). Other factors, such as the police force's use of excessive violence when dealing with protesters, also escalated the protests in Hong Kong (Wong and Cheung 2019). Another study into the connection between curricula and students' affective learning was conducted by Sleteer (2002) using the case of California's state curriculum framework.…”
Section: Studentmentioning
confidence: 99%
“…In their study, a majority of students (67%) expressed that the liberal studies curriculum-particularly key words and concepts such as'social justice', 'credibility of government', and'safeguarding the rule of law'-played an important role in their decision to join the movement (Fung & Su, 2016: 96-97). Other factors, such as the police force's use of excessive violence when dealing with protesters, also escalated the protests in Hong Kong (Wong and Cheung 2019). Another study into the connection between curricula and students' affective learning was conducted by Sleteer (2002) using the case of California's state curriculum framework.…”
Section: Studentmentioning
confidence: 99%
“…It processes word-document matrix A in document set, keeps the largest k singular values and gets the optimized approximate matrix ' A of matrix A by using Singular Value Decomposition (SVD) dimension reducing method. This method reduces the scope of the problem, achieves the low dimensional expression of the words and documents and further uncovers the latent semantic relationship between words (documents) [7,8] .…”
Section: Latent Semantic Analysis (Lsa)mentioning
confidence: 99%