#Aika online companion code#
#Aika online companion plus#

In Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP). A Rule-Based Approach to Aspect Extraction from Product Reviews. Soujanya Poria, Erik Cambria, Lun-Wei Ku, Chen Gui, and Alexander Gelbukh.Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Eun Joo Park, Eun Young Kim, Venessa Martin Funches, and William Foxx.In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Inferring networks of substitutable and complementary products. Julian McAuley, Rahul Pandey, and Jure Leskovec.Do customer reviews drive purchase decisions? The moderating roles of review exposure and price. Ewa Maslowska, Edward C Malthouse, and Vijay Viswanathan.Sentiment analysis: Mining opinions, sentiments, and emotions. Handbook of Natural Language Processing 2 (2010), 627–666. Journal of Retailing and Consumer Services 35 (2017), 76–83. Product attributes and preference for foreign brands among Vietnamese consumers. International Journal of Research in Marketing 33, 1 (2016), 11–26. Decomposing the effects of online customer reviews on brand, price, and product attributes. Daniel S Kostyra, Jochen Reiner, Martin Natter, and Daniel Klapper.

In Proceedings of the fourth ACM international conference on Web search and data mining. Aspect and sentiment unification model for online review analysis. Our results indicate that user opinions are indeed guided by the attributes from product specifications and highlight the influence of canonical attributes on the user reviews. For this study, we analyzed more than 1,100,000 opinionated sentences available in about 650,000 user reviews from across five product categories.

In this paper we present an empirical study on the use of direct and indirect mentions to canonical product attributes, that is, those defined by manufactures in product specifications, in the reviews written by customers. While researchers have demonstrated the importance of product specifications and reviews as separate and valuable sources to support purchase decision-making, a largely uninvestigated issue is what is the relationship between these two kinds of information. Both kinds of information are often available on e-commerce websites.

#Aika online companion code#

The companion fare code will be posted to the Alaska Airlines Mileage Plan account approximately 6 to 8 weeks after qualifying, and then annually on your credit card anniversary date.When making purchasing decisions, customers usually rely on information from two types of sources: product specifications, provided by manufacturers, and reviews, posted by other customers. The companion fare discount code will be credited to the primary cardholder's Alaska Airlines Mileage Plan account approximately two billing cycles after qualifying, and then on an annual basis dependent on your enrollment anniversary date.īusiness Card - For business credit card accounts, the companion fare code is issued after spending the required amount in net purchases within 90 days of account opening.

#Aika online companion plus#

The companion fare code will be posted to the primary cardholder's Alaska Airlines Mileage Plan account approximately 6 to 8 weeks after qualifying.Ĭanada - Platinum Plus Mastercard® and World Elite Mastercard® credit card holders qualify for their code after spending $1,000 or more in net purchases in the first 90 days of account opening. US – New eligible Visa® consumer cardholders should see their code after spending the required amount on purchases within 90 days from account opening. If you received a companion fare offer, the code is automatically added into your Account profile after qualifying.