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
Edité par
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10 : 6202799552
ISBN 13 : 9786202799553
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786202799553
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Sentiment Analysis of Arabic YouTube Comments
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202799552
ISBN 13 : 9786202799553
Neuf
Couverture souple
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Etat : 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. N° de réf. du vendeur 493982901
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Sentiment Analysis of Arabic YouTube Comments
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202799552
ISBN 13 : 9786202799553
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 119219927
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Image fournie par le vendeur
Sentiment Analysis of Arabic YouTube Comments
Edité par
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10 : 6202799552
ISBN 13 : 9786202799553
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786202799553
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Sentiment Analysis of Arabic YouTube Comments
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202799552
ISBN 13 : 9786202799553
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786202799553
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