Synopsis
With the current level of ubiquity of social media websites, obtaining online users preferences automatically became a crucial task to assess their tendencies and behaviors online. Arabic language is one of the most spoken languages in the world, and the fastest growing language on the Internet which motivates us to provide automated tools for Arabic language that can perform reliable sentiment analysis to deduct users opinions.In this book, we present our work of Arabic comments sentiments classification based on our collected and manually annotated corpora of YouTube Arabic comments. We share our classification results utilizing several machine learning classifiers: SVM-RBF, linear SVM OAO, linear SVM OAA, Perceptron, Passive Aggressive, SGD, Random Forest, Logistic Regression, Bernoulli NB and KNN.
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Sentiment Analysis of Arabic YouTube Comments
Published by
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the current level of ubiquity of social media websites, obtaining online users preferences automatically became a crucial task to assess their tendencies and behaviors online. Arabic language is one of the most spoken languages in the world, and the fastest growing language on the Internet which motivates us to provide automated tools for Arabic language that can perform reliable sentiment analysis to deduct users opinions.In this book, we present our work of Arabic comments sentiments classification based on our collected and manually annotated corpora of YouTube Arabic comments. We share our classification results utilizing several machine learning classifiers: SVM-RBF, linear SVM OAO, linear SVM OAA, Perceptron, Passive Aggressive, SGD, Random Forest, Logistic Regression, Bernoulli NB and KNN. 208 pp. Englisch. Seller Inventory # 9786202799553
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Sentiment Analysis of Arabic YouTube Comments
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bani Issa Esra aEsra a received her M.Sc. degree in Computer Engineering from Jordan University of Science and Technology (JUST) in 2018. Her research interest includes machine learning, deep learning, text analysis, and artificial i. Seller Inventory # 493982901
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Sentiment Analysis of Arabic YouTube Comments
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Sentiment Analysis of Arabic YouTube Comments | Esra'a Bani Issa (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202799553 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 119219927
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Sentiment Analysis of Arabic YouTube Comments
Published by
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the current level of ubiquity of social media websites, obtaining online users preferences automatically became a crucial task to assess their tendencies and behaviors online. Arabic language is one of the most spoken languages in the world, and the fastest growing language on the Internet which motivates us to provide automated tools for Arabic language that can perform reliable sentiment analysis to deduct users opinions.In this book, we present our work of Arabic comments sentiments classification based on our collected and manually annotated corpora of YouTube Arabic comments. We share our classification results utilizing several machine learning classifiers: SVM-RBF, linear SVM OAO, linear SVM OAA, Perceptron, Passive Aggressive, SGD, Random Forest, Logistic Regression, Bernoulli NB and KNN.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch. Seller Inventory # 9786202799553
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Sentiment Analysis of Arabic YouTube Comments
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the current level of ubiquity of social media websites, obtaining online users preferences automatically became a crucial task to assess their tendencies and behaviors online. Arabic language is one of the most spoken languages in the world, and the fastest growing language on the Internet which motivates us to provide automated tools for Arabic language that can perform reliable sentiment analysis to deduct users opinions.In this book, we present our work of Arabic comments sentiments classification based on our collected and manually annotated corpora of YouTube Arabic comments. We share our classification results utilizing several machine learning classifiers: SVM-RBF, linear SVM OAO, linear SVM OAA, Perceptron, Passive Aggressive, SGD, Random Forest, Logistic Regression, Bernoulli NB and KNN. Seller Inventory # 9786202799553