Articles liés à Sentiment Analysis of Data
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Sentiment Analysis of Data
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
PAP
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786202433761
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Sentiment Analysis of Data
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
PAP
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786202433761
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Sentiment Analysis of Data
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9786202433761
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EUR 51,47
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SENTIMENT ANALYSIS OF DATA
Edité par
LAP LAMBERT Academic Publishing Sep 2025, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
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 64 pp. Englisch. N° de réf. du vendeur 9786202433761
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SENTIMENT ANALYSIS OF DATA : Sentiment Analysis of Twitter Data using N-Gram and KNN
Edité par
LAP LAMBERT Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
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 - A sentiment is known as an attitude or judgment towards any particular event or person. Opinion mining is known as the extraction of these sentiments or opinions from given data. This technique also helps in analysing the kinds of sentiments that people have towards specific objects or services. The best source available to collect the sentiments is the internet. Twitter is known as a social networking platform that users access for posting their views online. Due to the unique properties of Tweets, there is an increase in new challenges. Higher analysis studies are needed in case of sentiments as compared to other domain applications due to their complexities. This research focuses on analysing the sentiments of product reviews for Amazon. Classification as well as feature extraction is applied such that sentiment analysis can be performed. The WDE-LSTM mechanism has been applied for performing sentiment analysis. In addition to this, in this research, the KNN-LSTM mechanism is applied to make certain improvements in the outcomes. Python simulator is used to implement the existing and proposed techniques. Around 94.5% of accuracy is achieved by implementing this improved method. N° de réf. du vendeur 9786202433761
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EUR 49,63
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Sentiment Analysis of Data
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
Couverture souple
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26405273716
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EUR 87,67
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Sentiment Analysis of Data
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand. N° de réf. du vendeur 407913387
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EUR 85
Expédition à EUR 7,79
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Sentiment Analysis of Data
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18405273726
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Sentiment Analysis of Data (Paperback)
Edité par
LAP Lambert Academic Publishing, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. A sentiment is known as an attitude or judgment towards any particular event or person. Opinion mining is known as the extraction of these sentiments or opinions from given data. This technique also helps in analysing the kinds of sentiments that people have towards specific objects or services. The best source available to collect the sentiments is the internet. Twitter is known as a social networking platform that users access for posting their views online. Due to the unique properties of Tweets, there is an increase in new challenges. Higher analysis studies are needed in case of sentiments as compared to other domain applications due to their complexities. This research focuses on analysing the sentiments of product reviews for Amazon. Classification as well as feature extraction is applied such that sentiment analysis can be performed. The WDE-LSTM mechanism has been applied for performing sentiment analysis. In addition to this, in this research, the KNN-LSTM mechanism is applied to make certain improvements in the outcomes. Python simulator is used to implement the existing and proposed techniques. Around 94.5% of accuracy is achieved by implementing this improved method. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786202433761
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SENTIMENT ANALYSIS OF DATA
Edité par
LAP LAMBERT Academic Publishing Sep 2025, 2025
ISBN 10 : 6202433760
ISBN 13 : 9786202433761
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 -A sentiment is known as an attitude or judgment towards any particular event or person. Opinion mining is known as the extraction of these sentiments or opinions from given data. This technique also helps in analysing the kinds of sentiments that people have towards specific objects or services. The best source available to collect the sentiments is the internet. Twitter is known as a social networking platform that users access for posting their views online. Due to the unique properties of Tweets, there is an increase in new challenges. Higher analysis studies are needed in case of sentiments as compared to other domain applications due to their complexities. This research focuses on analysing the sentiments of product reviews for Amazon. Classification as well as feature extraction is applied such that sentiment analysis can be performed. The WDE-LSTM mechanism has been applied for performing sentiment analysis. In addition to this, in this research, the KNN-LSTM mechanism is applied to make certain improvements in the outcomes. Python simulator is used to implement the existing and proposed techniques. Around 94.5% of accuracy is achieved by implementing this improved method.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9786202433761
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