TY - GEN
T1 - Longitudinal sales responses with online reviews
AU - Quan, Xiaojun
AU - Liu, Wenyin
AU - Dou, Wenyu
PY - 2011
Y1 - 2011
N2 - The longitudinal impact of online consumer reviews on hotel sales is studied. Different from previous efforts using pure ratings, this study explores the extraction and representation of consumer sentiments within review comments in an iterative approach. Initially, we define a few primary attributes as seeds to mine review patterns which are frequently used by consumers to express their sentiments. Opinion words, being used to express the specific opinions, are then discovered based on the primary attributes and the review patterns. More new attributes, opinion words and review patterns can be obtained in an iterative manner. Afterwards, each comment will be rated with a pertinent score to reflect the consumer sentiment. Both consumer ratings and sentiment ratings are used to examine the economic effect of reviews on hotel sales. Evaluations on practical hotel-booking reviews and sales data are conducted and several important findings are revealed. © 2011 IEEE.
AB - The longitudinal impact of online consumer reviews on hotel sales is studied. Different from previous efforts using pure ratings, this study explores the extraction and representation of consumer sentiments within review comments in an iterative approach. Initially, we define a few primary attributes as seeds to mine review patterns which are frequently used by consumers to express their sentiments. Opinion words, being used to express the specific opinions, are then discovered based on the primary attributes and the review patterns. More new attributes, opinion words and review patterns can be obtained in an iterative manner. Afterwards, each comment will be rated with a pertinent score to reflect the consumer sentiment. Both consumer ratings and sentiment ratings are used to examine the economic effect of reviews on hotel sales. Evaluations on practical hotel-booking reviews and sales data are conducted and several important findings are revealed. © 2011 IEEE.
KW - Opinion mining
KW - Sentiment analysis
KW - Word of mouth
UR - http://www.scopus.com/inward/record.url?scp=84863155168&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84863155168&origin=recordpage
U2 - 10.1109/ICDMW.2011.115
DO - 10.1109/ICDMW.2011.115
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780769544090
SP - 103
EP - 108
BT - Proceedings - IEEE International Conference on Data Mining, ICDM
T2 - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Y2 - 11 December 2011 through 11 December 2011
ER -