The rapid increase in textual content generation from sources like WhatsApp, Instagram, and Amazon produces massive amounts of data daily. Interpreting this data can help business owners understand the public perception of their products or services and make informed decisions. Due to the large volume of text, Natural Language Processing (NLP), a crucial aspect of Sentiment Analysis (SA), is essential for content interpretation. This research focuses on developing a Consumer Review Summarization (CRS) model using NLP techniques and Long Short-Term Memory (LSTM) to summarize data and provide businesses with significant insights into consumer behavior and preferences. The CRS model's effectiveness relies on the SA model and consists of two phases: SADL and CRS. The SADL phase includes review preprocessing, feature extraction, and sentiment classification, while the CRS phase performs automatic summarization based on the SADL outcomes.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. Gagandeep Kaur obtained her PhD degree (CSE) in 2023 and M.Tech degree(CSE) in 2011. She has been engaged in research and teaching for more than 12 years. At present she is working as Assist. Prof. in CSE Dept. at Symbiosis Institute of Technology, Nagpur. She has published more than 20 research papers in International Journals/Conferences.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9786207805358
Anzahl: Mehr als 20 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Bestandsnummer des Verkäufers I-9786207805358
Anzahl: Mehr als 20 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9786207805358_new
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9786207805358
Anzahl: Mehr als 20 verfügbar
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 132 pp. Englisch. Bestandsnummer des Verkäufers 9786207805358
Anzahl: 2 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26402479261
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 394979138
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18402479255
Anzahl: 4 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Customer Review Summarization using Hybrid Analysis of Sentiments | Gagandeep Kaur (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207805358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 129600242
Anzahl: 5 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid increase in textual content generation from sources like WhatsApp, Instagram, and Amazon produces massive amounts of data daily. Interpreting this data can help business owners understand the public perception of their products or services and make informed decisions. Due to the large volume of text, Natural Language Processing (NLP), a crucial aspect of Sentiment Analysis (SA), is essential for content interpretation. This research focuses on developing a Consumer Review Summarization (CRS) model using NLP techniques and Long Short-Term Memory (LSTM) to summarize data and provide businesses with significant insights into consumer behavior and preferences. The CRS model's effectiveness relies on the SA model and consists of two phases: SADL and CRS. The SADL phase includes review preprocessing, feature extraction, and sentiment classification, while the CRS phase performs automatic summarization based on the SADL outcomes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Bestandsnummer des Verkäufers 9786207805358
Anzahl: 1 verfügbar