[PDF] Top 20 Optimization of sentiment analysis using machine learning classifiers
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Optimization of sentiment analysis using machine learning classifiers
... The hierarchical mechanism divides feature space into distinct regions followed by the categorization of sample into category labels. J48 is a decision tree based classifier used to generate rules for the prediction of ... See full document
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Social Media Sentiment Analysis using Machine Learning and Optimization Techniques
... "Sentiment analysis is particular case class for computational strategies which naturally excerpts and epitomize those conclusions from opinions such monstrous quantity of information which the average ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Sentiment analysis on social media has been the interest of a growing number of researchers world- ...used machine learning approaches to classify sentiments of English ...the sentiment ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Figure 4 shows the research model of this research. For MSEM, this research divide generation by Williams (2001) segment age range [9]. According to the generation separation standard, in this research sample, a number ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... economic analysis of ROP, this research proposes a method for improving customer loyalty by transferring low-loyal customers into an optimal loyalty cluster (the highest-profit ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... cut-off factor loading of .50 was used to ensure that all variables had practical significance [27]. Moreover, the researcher assessed sampling adequacy by examining the Kaiser-Meyer-Olkin (KMO) output provided in the ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Intrapreneurial climate created by leaders in teams may affect employee’s extra role and organizational citizenship behavior. A well- structured team climate encourages continuous contribution in decision making, ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... To select the sample, we used a survey company having enough experiment objects since they have enough number of consumer panels and we implemented the experiment by using some scenarios targeting 470 people in ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... user using the camera which can scan 360 degrees to generate 3D images and machine learning ...deep learning-based AI system recommending the goods similar to the fashion on SNS or streets and ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... manner. Analysis of 60 projects based on the software development quality inspection management process model over one year showed an improvement of more than 20% in performance capability for each ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Organizational analytics to the tree structured data has been done with traditional analysis tools such as the association rules mining and the classification. However, they were faced with serious problems. ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... People have the tendency or perception implicitly about self’s or other’s intelligence or ability. This is the implicit self-theory. We can evaluates an individual's intelligence or ability with subjective measure. There ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... 4688 users' attributes [13]. This allows users with different attributes that are not satisfied with the nature of the access policy previously specified in ciphertext C to access the data using ‘reencrypted C' ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... The development of applications with Virtual Reality technology is currently on the rise. However, there is no formal methodology or architecture for the creation of this type of systems. However, to solve the problem, ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... 4512 under cost and level parameters. Srisura et al.[17] has provided novel false test case identification method for improving the test case selection behaviour. The systematic study was also conducted to ensure the ... See full document
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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 ...detailed analysis of most-recent dataset ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... The implementation of the Citizen Relationship Management by the Provincial Government of DKI Jakarta carried out through the CRM Mobile application has not been changed since it was first launched in 2015. The flow of ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... Internet of Things (IoT) is a technology which enables the connection, communication and interaction of a huge number of complex heterogeneous devices without human intervention. The communication involved in IoT targets ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... [5]: Using exact approaches which relies on heuristics and meta-heuristics ...path using multi-objective algorithm [7][19]Error! Reference source not ... See full document
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
... statistical analysis was applied to validate the proposed ...correlation analysis and the Kolmogorov-Smirnov test to compare observed (real) data with numerical ... See full document
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