scholarly journals Computer-Assisted Reading: Getting Help from Text Classification and Maximal Association Rules

2013 ◽  
Vol 4 (4) ◽  
Author(s):  
Ismaïl Biskri ◽  
Abdelghani Achouri ◽  
Louis Rompré ◽  
Steve Descoteaux ◽  
Boucif Amar Bensaber
2007 ◽  
Vol 2 (3) ◽  
pp. 299-304
Author(s):  
Manuel C Peitsch

Data Mining ◽  
2013 ◽  
pp. 503-514
Author(s):  
Ismaïl Biskri ◽  
Louis Rompré

In this paper the authors will present research on the combination of two methods of data mining: text classification and maximal association rules. Text classification has been the focus of interest of many researchers for a long time. However, the results take the form of lists of words (classes) that people often do not know what to do with. The use of maximal association rules induced a number of advantages: (1) the detection of dependencies and correlations between the relevant units of information (words) of different classes, (2) the extraction of hidden knowledge, often relevant, from a large volume of data. The authors will show how this combination can improve the process of information retrieval.


System ◽  
1986 ◽  
Vol 14 (1) ◽  
pp. 1-13 ◽  
Author(s):  
David F. Clarke

2014 ◽  
Vol 55 (5) ◽  
pp. 448-455 ◽  
Author(s):  
Cecilia Nakeva von Mentzer ◽  
Björn Lyxell ◽  
Birgitta Sahlén ◽  
Örjan Dahlström ◽  
Magnus Lindgren ◽  
...  

2016 ◽  
Vol 6 (9) ◽  
pp. 1753
Author(s):  
Khalid Al-Seghayer

English instructors’ perceptions of computer-assisted reading (CAR) influence their tendency to integrate it in the L2 reading classroom. Accordingly, this study assessed English instructors’ perceptions of the importance of electronic text in L2 reading and their general attitudes about the role and effectiveness of computers in teaching ESL/EFL. To this end, 70 ESL/EFL instructors at multiple universities responded to a two-part survey containing 34 items and open-ended questions about the respondents’ general attitudes about computers in language teaching and learning, and the importance of computer-assisted L2 reading instruction specifically. The researcher performed both descriptive and inferential statistical analyses on the data, including means and standard deviations, as well as paired t-tests and bootstrapped p-values. The results indicated that the participants recognized the importance of CAR in improving the quality of L2 reading instruction and developing learners’ reading skills. The implications of the study are discussed, and potential areas of future research are suggested.


1992 ◽  
Vol 13 (2) ◽  
pp. 50-60 ◽  
Author(s):  
Mary E. Farmer ◽  
Raymond Klein ◽  
Susan E. Bryson

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