cosine similarity
Toward an enhanced Arabic text classification using cosine similarity and Latent Semantic Indexing
... Even LSI is a powerful feature representation for words’ semantic, the literature provided in Table 1 shows that LSI has very little contribution for Arabic text classification. Therefore, an effort was made to address ...
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Keywords cosine similarity, correlation, standard deviation, page count, Enron dataset
... Illicit groups have adopted multiple ways for substitution. One of the ways is use of synonyms or hypernyms of the sensitive word for substitution. S. Mehta et al. [2] presented these hypernyms as an extended measure. ...
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Auto Halal Detection Products Based on Euclidian Distance and Cosine Similarity
... page. Cosine similarity surpasses the performance of Euclidean Distance and MoreLikeThis from Apache Lucene; and as such is recommended for further use in the product search ...
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Privacy Preserving Multi Keyword Search Using Cosine Similarity in Cloud Jincy Easow, Prof Jisha P Abraham
... Cloud provides a platform to store huge amount of data containing sensitive information. Data owner upload the documents in an encrypted form into the cloud server. Before upload documents into the cloud, the data owner ...
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Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis
... In this paper, we define a rough cosine similarity measure between two rough neutrosophic sets. The notions of rough neutrosophic sets (RNS) will be used as vector representations in 3D-vector space. The ...
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Improved sqrt-cosine similarity measurement
... text similarity is a critical problem in text mining and information ...popular similarity measures is cosine similarity, which is based on Euclidean ...however, cosine ...
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API Retrieval Method Using TFIDF Based on Cosine similarity Weighting Scheme
... Abstract— In this paper, we propose an Application Programming Interface (API) retrieval method using description information, in vector space model. API is the fundamental unit of work in a programming language. Large ...
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Sentiment Classification Using Document Embeddings Trained with Cosine Similarity
... Another contribution of this paper is demonstrat- ing the effectiveness of concatenating naive bayes weighted bag of n-grams with DV-ngram, L2R dot product, or document vectors trained with cosine ...
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Journal Classification Using Cosine Similarity Method on Title and Abstract with Frequency-Based Stopword Removal
... the Cosine Similarity method with stopword removal based Tala dictionary is faster; ...the Cosine Similarity method with frequency-based stopword removal requires an execution time of 61,6266 ...
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A Modified Cosine Similarity based Log Kernel for Support Vector Machines in the Domain of Text Classification
... modified cosine similarity mea- sure i.e. the log-cosine distance kernel (L-cos) performs well compared to other CPDs on most of the ...log cosine kernel works well for text document clas- ...
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A Cost-Sensitive Cosine Similarity K-Nearest Neighbor for Credit Card Fraud Detection
... Abstract—Credit card fraud commonly happens in financial institutes such as banks. Fraud results in a huge financial damage that may reach to billions of dollars every year. Detecting and preventing credit card fraud ...
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Perbandingan Metode Cosine Similarity Dengan Metode Jaccard Similarity Pada Aplikasi Pencarian Terjemah Al-Qur’an Dalam Bahasa Indonesia
... the similarity (degree of similarity) or relevant similarity algoritma, cosine, Jaccard, and nearest neighbor (k-nn) for comparing algoritma that are more relevant to the translation ...
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Cosine similarity approaches to reliability of Likert scale and items
... by Cosine similarity method and Bhattacharyya’s measure, using only the frequencies of Item – Response categories without involving assumptions of continuous nature or linearity or normality for the ...
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Survey: Genetic Algorithm Based Cosine Similarity
... the cosine similarity and the search based genetic algorithm measure in the fallowing paper is about detailed working of the cosine similarity and the different type of cosine ...
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IJCSMC, Vol. 5, Issue. 7, July 2016, pg.171 – 176 A Secure Multi-Keyword Search Scheme for Encrypted Cloud Data using Cosine Similarity
... the cosine similarity between the document and query ...The cosine measure uses TF×IDF rule, where TF denotes the occurrence count of a term within a document (high TF means the term highly ...
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Recommending News Articles using Cosine Similarity Function Rajendra LVN 1, Qing Wang 2 and John Dilip Raj 1
... Predicting news articles customers are likely to view/read next provides a distinct advantage to news sites and Collaborative filtering is a widely used technique for the same. This paper details an approach within ...
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Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets
... The similarity measure is one of important tools for the degree of similarity between ...of similarity of items or sets are used in physical anthropology, numerical taxonomy, ecology, information ...
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Patient report Retrieval Using Semantic LDA with Cosine Similarity
... Now a day, the enlargement of information technology has altered the entire human life which includes medical and healthcare behaviors. A medical information storage and retrieval system is a precious tool used by the ...
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Intelligent Question and Answering System Based on SVM and Cosine Similarity
... In this paper, we showed how to design and implement of an intelligent question answering system. We take the technologies of words segmentation tool to process the question, and filtering stop words; TF-IDF technology ...
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Achieving effective keyword ranked search by using TF IDF and cosine similarity
... Disha M and Bilimoria, 2015[2] proposed a work “Empirical Framework on Adaptive Keyword Query Searching in Linked Databases” At the preprocessing stage keyword table, prefix table, inver[r] ...
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