[PDF] Top 20 Survey: Genetic Algorithm Based Cosine Similarity
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Survey: Genetic Algorithm Based Cosine Similarity
... the similarity of the user query with the retrieved documents. The cosine similarity function is one of the most popular similarity functions for handling web ...data. Genetic ... See full document
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Intelligent Question and Answering System Based on SVM and Cosine Similarity
... Abstract. It is a tough task for teachers to answer all questions from students effectively and timely. In this paper, we design and implements an intelligent question answering system using Natural Language Processing, ... See full document
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Genetic Algorithm based Energy Aware Clustering Techniques: A Survey
... distance. Genetic algorithm ensures that fittest node is selected as cluster ...discusses genetic algorithm based clustering technique along with their merits and ... See full document
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Finding Similar Content Posts Using Semantic Textual Similarity Based On Text Segmentation Through Natural Language Processing
... to Similarity measures the efficiency of system has ...the similarity scores between SCC and Chi-Square because of difference in variation of resulting parameters like SCC result will be between 0-1 and ... See full document
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Improved sqrt-cosine similarity measurement
... vector based approach which simply counts the number of similar terms (dimensions), with which both vectors are ...the cosine of a triangle between two vectors and its value range between 0 and 2 ... See full document
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Optimizing Ontology Mapping Using Genetic Algorithms (OOMGA)
... Figure 5 given below illustrates work flow in OOMGA. For optimized ontology mapping, initially concepts of source ontology will be converted into genes. All unique terms of these genes will be entered into UIA and will ... See full document
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A REVIEW OF SELECTION METHODS IN GENETIC ALGORITHM
... is based on the concept of the preserving genetic diversity in the population by using the fitness of individuals to estimate their ...The similarity is found by calculating the distance between two ... See full document
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Inferring User Search for Feedback Sessions
... clustering algorithm. The cosine similarity based clustering algorithm is applied to obtain the clusters of user search goals and ... See full document
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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 ...to survey, check and ... See full document
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Categorical Data Clustering using Cosine based similarity for Enhancing the Accuracy of Squeezer Algorithm
... Squeezer algorithm [5],is a clustering algorithm for categorical ...largest similarity value. If the largest similarity value is greater than threshold‘s’, the tuple is inserted into the ... See full document
5
An Improved Item based Collaborative Filtering Recommendation System
... The most effective way to solve the above problems is to introduce the recommendation system. The so-called recommendation system is a system that by collecting the user information, historical behavior, and other ... See full document
6
Obtaining a Better Understanding of Distributional Models of German Derivational Morphology
... All these models predict some point in vector space for the derived term, and we compare against the gold standard position of the derived term with cosine similarity. Like Lazaridou et al. (2013), we ... See full document
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Bilingual Document Alignment with Latent Semantic Indexing
... “Local” cosine similarity (lcos) The intuition behind the local cosine similarity measure is this: since we perform SVD on a bilin- gual term-document matrix that consists of doc- ument column ... See full document
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Suggesting Sentences for ESL using Kernel Embeddings
... Second, we compared alignment-based similar- ity with kernel embeddings. The former consid- ers only the maximum similarity of words in the query and sentences. In contrast, kernel embed- dings ... See full document
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An algorithm for similarity based virtual screening
... used similarity coefficients to quantify the extent to which objects resemble one ...these similarity coefficients achieves a good result, and work is continuing to enhance and modify virtual screening ... See full document
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Machine Learning Approach by Document Clustering using Probability of Word Occurrences
... three similarity measures to compute the clustering ...Spearman Similarity measure yields an accuracy of 94.80.. Cosine Similarity measure yields an accuracy of ...Correlation ... See full document
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Ontology validation algorithm on data driven approach and vocabulary aspect
... This section is the main part where the process of evaluating ontology that is derived from ontology repositories. The extraction uses Jena plugin in Eclipse tools to help gathering the concept within ontology documents. ... See full document
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A Minimally Supervised Approach for Detecting and Ranking Document Translation Pairs
... the Cosine metric uses the angle between the vector representations and is length invariant there may be instances of source documents that would yield high cosine coefficients over all target ...selected ... See full document
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Handling Sparsity for Verb Noun MWE Token Classification
... MWEs are typically not productive, though they allow for inflectional variation (Sag et al., 2002). They have been conventionalized due to persistent use. MWEs can be classified based on their se- mantic types as ... See full document
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API Retrieval Method Using TFIDF Based on Cosine similarity Weighting Scheme
... Any text-based system requires some representation of documents, and the appropriate representation depends on the kind of task to be performed. Different from data mining that handles the well-structured data, ... See full document
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