An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis

2012 ◽  
Vol 61 (3) ◽  
pp. 379-394 ◽  
Author(s):  
G. Cosma ◽  
M. Joy
2018 ◽  
Vol 6 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Tinaliah Tinaliah ◽  
Triana Elizabeth

Various methods are applied in the application of plagiarism detection to help check the similarity of a document. Jaro-Winkler Distance can measure the distance between two strings. However, this method basically depends on the position of the word. Latent Semantic Analysis emphasizes the words contained in the document regardless of its linguistic character. This study compares the results of plagiarism detection using the Jaro-Winkler Distance and the Latent Semantic Analysis method. From comparing results of  Jaro-Winkler Distance method and Latent Semantic Analysis method, Jaro-Winkler Distance method is better than Latent Semantic Analysis method if using the same test data. Jaro-Winkler Distance method will give plagiarism result 100% and Latent Semantic Analysis method will give plagiarism result 97,14%.


Algorithms ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 69 ◽  
Author(s):  
Anak Agung Putri Ratna ◽  
Prima Dewi Purnamasari ◽  
Boma Anantasatya Adhi ◽  
F. Astha Ekadiyanto ◽  
Muhammad Salman ◽  
...  

2012 ◽  
Vol 132 (9) ◽  
pp. 1473-1480
Author(s):  
Masashi Kimura ◽  
Shinta Sawada ◽  
Yurie Iribe ◽  
Kouichi Katsurada ◽  
Tsuneo Nitta

Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.


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