Machine learning classifiers
Machine learning classifiers: Evaluation of the performance in online reviews
... Comments, Machine Learning Classifiers, Online Reviews, Polarity, Sentiment Analysis Abstract Objectives: This paper aims to evaluate the performance of the machine learning ...
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Optimization of sentiment analysis using machine learning classifiers
... Abstract Words and phrases bespeak the perspectives of people about products, services, governments and events on social media. Extricating positive or negative polarities from social media text denominates task of ...
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Evaluating Machine Learning Classifiers for Defensive Cyber Operations
... The proposed value-focused evaluation method is motivated by a scenario-based approach to mitigating insider threats 13 which considers benefits and costs associated with implementing security controls to detect insider ...
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Combining Machine Learning Classifiers for the Task of Arabic Characters Recognition
... three machine learning classifiers (k-Nearest Neighbors (kNN), Support Vector Machine (SVM), and Probabilistic Neural Network (PNN)) as classifiers and then using different ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... and machine learning ...that machine learning classifiers such as Support Vector Machine (SVM), Naive Bayes, MultiLayer Perceptron (MLP) and Logistic Regression-based produce the ...
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Android Malware Detection Using Category-Based Machine Learning Classifiers
... category-based machine learning classifiers to enhance the performance of classification models at detecting malicious apps under a certain ...
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Evaluating Machine Learning Classifiers for Hybrid Network Intrusion Detection Systems
... 1.1 Research Goals and Hypothesis The overall goal of this research is to develop a methodology of evaluating a threat classifier system to use in a hybrid IDS architecture. Emphasis is placed on detecting unknown ...
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A Comparative Study of Machine Learning Classifiers for Credit Card Fraud Detection
... various machine learning classifiers in detecting credit card fraud to ensure secure electronic ...these classifiers have to be considered in credit card fraud detection ...
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Performance Analysis of Machine Learning Classifiers
... Ensemble classification [7] is a data mining approach that utilizes a number of classifiers that work together in order to identify the class label for unlabeled instances. Random forest (RF) is an ensemble ...
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A Comparison of Machine Learning Classifiers Applied to Financial Datasets
... Trees learning, since the classification rate dropped to almost half of the original ...Trees learning was the technique that performed the best in terms of accuracy and also in terms of speed when compared ...
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Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.
... incorporate machine learning (ML) techniques to distinguish bacterial protective antigens (BPAs) from ...vector machine (SVM) classifier that could discriminate BPAs (n = 200) from non-BPAs (n = 200) ...
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Android Malware Detection Using Parallel Machine Learning Classifiers
... parallel machine learning based classification approach for early detection of Android ...several classifiers with diverse characteristics, their strengths can be harnessed not only for enhanced ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Although the e-Government program has been carried out by the Jakarta Capital City Provincial Government since 2015 through Jakarta Smart City, by implementing Citizen Re[r] ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Once the control flow graph with relative cost based testcases specification is obtained, the final stage is to apply the dynamic programming method to generate the [r] ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... malicious, Machine-learning technique has been useful in the area of intrusion ...of machine learning models were leveraged in anomaly-based ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Further, machine-to-machine protocol stacks have been suggested by researchers for the IoT [11]. 1.4 Applications of IoT Network Protocols There exists numerous shades between the entire rainbow of IoT ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... 4561 4.2 Comparisons This section discusses the results of comparing the final results of our proposed MSLL with other state-of-the-art proposals. Table 8 compares the performance of MSLL against five other proposals in ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... This paper applies the Artificial Bee Colony optimization algorithm (ABC) to build a tour plan by selecting the Points of Interest (POIs).. The algorithm is applied to the user mobile p[r] ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... our paper is to combine the Susceptible-Infected- Removed (SIR) epidemiology model with Small World social networks using the average degree of distribution 〈𝒌〉 , which represents th[r] ...
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... information for the intelligent agent algorithm. This level focuses on the semantic system where all the elements that make up the application must be defined, and if required, it must assign its characteristics, ...
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