Articoli correlati a Sentiment Analysis of Arabic YouTube Comments
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Sentiment Analysis of Arabic YouTube Comments
Immagini fornite dal venditore
Sentiment Analysis of Arabic YouTube Comments
Editore:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786202799553
Compra nuovo
EUR 71,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Sentiment Analysis of Arabic YouTube Comments
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 493982901
Compra nuovo
EUR 58,12
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Sentiment Analysis of Arabic YouTube Comments
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786202799553
Compra nuovo
EUR 80,20
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Sentiment Analysis of Arabic YouTube Comments
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 119219927
Compra nuovo
EUR 60,55
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Immagini fornite dal venditore
Sentiment Analysis of Arabic YouTube Comments
Editore:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202799552
ISBN 13: 9786202799553
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786202799553
Compra nuovo
EUR 71,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili