9786209341229 - deep learning sentiment analysis of hotel reviews with bilstm: deep learning-based sentiment analysis of hotel reviews using lstm and bidirectional lstm models di durga prasad, kadupu; duvvuri, suneel kumar (9 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 78,80
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 80,19
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 78,11
EUR 3,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 57,15
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Deep Learning Sentiment Analysis of Hotel Reviews with BiLSTM | Deep Learning-Based Sentiment Analysis of Hotel Reviews Using LSTM and Bidirectional LSTM Models | Kadupu Durga Prasad (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209341229 | Verantwortliche Perso…n für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 78,79
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. In the digital era, the rapid growth of online platforms has significantly transformed the hospitality industry, where customer decisions are increasingly influenced by user-generated reviews. These reviews provide valuable insights into customer experiences; however, the vast volume of uns…tructured textual data makes manual analysis inefficient and impractical. To address this challenge, this study proposes an automated sentiment analysis system using deep learning techniques to classify hotel reviews into positive and negative sentiments.The research utilizes a large-scale dataset comprising over 500,000 hotel reviews, which undergoes extensive preprocessing, including text cleaning, tokenization, stopword removal, and data balancing to ensure model reliability. Exploratory Data Analysis (EDA) is conducted to understand data distribution and extract meaningful patterns. The processed textual data is then transformed into numerical representations using tokenization and sequence padding techniques.Two deep learning models, Long Short-Term Memory (LSTM) and Bidirectional Long ShortTerm Memory (BiLSTM), are implemented to capture sequential dependencies and contextual relationships. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 66,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 83,53
EUR 43,18 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. In the digital era, the rapid growth of online platforms has significantly transformed the hospitality industry, where customer decisions are increasingly influenced by user-generated reviews. These reviews provide valuable insights into customer experiences; however, the vast volume of uns…tructured textual data makes manual analysis inefficient and impractical. To address this challenge, this study proposes an automated sentiment analysis system using deep learning techniques to classify hotel reviews into positive and negative sentiments.The research utilizes a large-scale dataset comprising over 500,000 hotel reviews, which undergoes extensive preprocessing, including text cleaning, tokenization, stopword removal, and data balancing to ensure model reliability. Exploratory Data Analysis (EDA) is conducted to understand data distribution and extract meaningful patterns. The processed textual data is then transformed into numerical representations using tokenization and sequence padding techniques.Two deep learning models, Long Short-Term Memory (LSTM) and Bidirectional Long ShortTerm Memory (BiLSTM), are implemented to capture sequential dependencies and contextual relationships. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 66,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 67,70
EUR 60,93 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
