In the sustainable global goals, economic growth is one of the major challenges faced by any part of the world. Odisha, one of the developing eastern state of India, has many well-known tourist places which can contribute to revenue generation and economic growth. Recently, its government has planned to make some tourist places as “eco-retreat centers” which can attract more tourist to these places. To achieve this objective, the tourist feedback must be analyzed thoroughly which will enhance both quality of service and growth in tourism sector. In this context, an aspect-based sentiment analysis framework is proposed based on Google map reviews given by tourists on Konark tourist spot. Initially, the online reviews are scrapped using Selenium. Then a transfer learning method is proposed utilizing and fine tuning BERT model. The performance is compared with other state-of-the-art models. Further, to enhance the reviews scrapping speed, an Incremental Review Aggregator (IRA) algorithm is proposed. Prompt engineering and few-shot learning with GPT3 is also proposed for better understanding of the aspects. Finally, a web-based application is developed to automate the tasks.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. N° de réf. du vendeur 9786207484232
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the sustainable global goals, economic growth is one of the major challenges faced by any part of the world. Odisha, one of the developing eastern state of India, has many well-known tourist places which can contribute to revenue generation and economic growth. Recently, its government has planned to make some tourist places as 'eco-retreat centers' which can attract more tourist to these places. To achieve this objective, the tourist feedback must be analyzed thoroughly which will enhance both quality of service and growth in tourism sector. In this context, an aspect-based sentiment analysis framework is proposed based on Google map reviews given by tourists on Konark tourist spot. Initially, the online reviews are scrapped using Selenium. Then a transfer learning method is proposed utilizing and fine tuning BERT model. The performance is compared with other state-of-the-art models. Further, to enhance the reviews scrapping speed, an Incremental Review Aggregator (IRA) algorithm is proposed. Prompt engineering and few-shot learning with GPT3 is also proposed for better understanding of the aspects. Finally, a web-based application is developed to automate the tasks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786207484232
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the sustainable global goals, economic growth is one of the major challenges faced by any part of the world. Odisha, one of the developing eastern state of India, has many well-known tourist places which can contribute to revenue generation and economic growth. Recently, its government has planned to make some tourist places as 'eco-retreat centers' which can attract more tourist to these places. To achieve this objective, the tourist feedback must be analyzed thoroughly which will enhance both quality of service and growth in tourism sector. In this context, an aspect-based sentiment analysis framework is proposed based on Google map reviews given by tourists on Konark tourist spot. Initially, the online reviews are scrapped using Selenium. Then a transfer learning method is proposed utilizing and fine tuning BERT model. The performance is compared with other state-of-the-art models. Further, to enhance the reviews scrapping speed, an Incremental Review Aggregator (IRA) algorithm is proposed. Prompt engineering and few-shot learning with GPT3 is also proposed for better understanding of the aspects. Finally, a web-based application is developed to automate the tasks. N° de réf. du vendeur 9786207484232
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Aspect-Based Sentiment Analysis for Odisha's Eco-Retreat Center | A Case Study on Konark | Niranjan Panigrahi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207484232 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 129104376
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