More than words: The influence of affective content and linguistic style matches in online reviews on conversation rates

By:

LUDWIG, STEPHAN

Contributor(s):

RUYTER, KO DE

Material type:

Mixed materialsPublication details: 2013Description: 87-103Subject(s):

NLM classification:

658.8

In: JOURNAL OF MARKETINGMSummary: Customer increasingly rely on other cnsumer's reviews to make purchase decisions online. New insights into the customer review phenomenon can be derived from studying the semantic content and style properties of verbatim customer reviews to examine their influence on online retail sites' conversion rates. The authors employ text mining to extract changes in affective content and linguistic style properties of customer book reviews Amazon.com

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Holdings
Item type	Current library	Call number	Vol info	Status	Date due	Barcode
Periodicals/Magazines	SSCBS Library		77/1	Available		P14946

Customer increasingly rely on other cnsumer's reviews to make purchase decisions online. New insights into the customer review phenomenon can be derived from studying the semantic content and style properties of verbatim customer reviews to examine their influence on online retail sites' conversion rates. The authors employ text mining to extract changes in affective content and linguistic style properties of customer book reviews Amazon.com

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