Online Platform Market Reputation Systems : Text Analytics and Machine Learning Approaches to Online Reputation

Language: English

Published by Scholars' Press, 2021

6138954548 / 9786138954545

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - This research investigates the relationship among text review score, review length, agent behavior, and transfer-learning applications by constructing a quantitative measure with Airbnb online text reviews. The first essay focuses on studying the effects of review length on text review score. It constructs numerical text review scores by applying text analytics and machine learning techniques to more than three million user-generated text reviews on Airbnb. With the text review scores, this essay analyzes the impact of review length on text review scores and obtains insights on interplay relationship among text review score, review length, review age, and active reviewer. It finds an inverted U-shaped relation between review length and text review scores and a long-term downward trend of text review length cross all online platforms. This research contributes to online reputation field by building an innovative text review reputation measure and a large online labelled review corpus (i.e., Airbnb review knowledge base), investigating effects of review length on text review scores, and revealing a long-term trend of the online platform review length.

Seller Inventory # 9786138954545

Title
Online Platform Market Reputation Systems : Text Analytics and Machine Learning Approaches to Online Reputation
Author
Xiangming Samuel Li
Publisher
Scholars' Press
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6138954548
ISBN 13
9786138954545
Item weight
107 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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