We propose an automatic approach towards determining the relative location of adjectives on a common scale based on their strength. We focus on adjectives expressing different degrees of goodness occurring in French product (perfumes) reviews. Using morphosyntactic patterns, we extract from the reviews short phrases consisting of a noun that encodes a particular aspect of the perfume and an adj...

Noun phrases (NP) in a product review are always considered as the product attribute candidates in previous work. However, this method limits the recall of the product attribute extraction. We therefore propose a novel approach by generalizing syntactic structures of the product attributes with two strategies: intuitive heuristics and syntactic structure similarity. Experiments show that the pr...

We develop a highly parsimonious model to describe and predict stock-keeping unit (SKU) choice in any frequently-bought consumer packaged good category. The model has 20 parameters for a category that has 3 salient attributes, and in general it has 8 + 4 ¢ k parameters for a k-attribute product category. This parsimony is accomplished by neither discarding part of the data nor aggregating the l...

BACKGROUND Nearly 5 million children in the United States are affected by asthma, which is more than 5% of the population younger than 18 years. In children four years or younger, the prevalence increased 160% from 1980 to 1994. There are several effective drugs that relieve the symptoms of asthma and others are currently being developed, but even when these medications are prescribed, they may...

Context: Psychosocial exposures commonly show large variation over time and are usually assessed using multiitem Likert indices. A construct requiring a five-item Likert index could possibly be replaced by a single visual analogue scale (VAS). Objective: To: a) evaluate validity and relative reliability of a single VAS compared to previously validated Likert based items and indices measuring th...

a r t i c l e i n f o Innovation-driven durable goods markets see substantial changes in quality and available choice sets and subsequent changes of the reference quality in the market over time. Considering the multi-attribute characteristics of these goods, it is important for businesses to identify attribute-specific competitive landscapes and develop competitive innovation strategies at the...

Learning attribute applicability of products in the Amazon catalog (e.g., predicting that a shoe should have a value for size, but not for battery-type) at scale is a challenge. The need for an interpretable model is contingent on (1) the lack of ground truth training data, (2) the need to utilise prior information about the underlying latent space and (3) the ability to understand the quality ...

We describe an approach to extract attribute-value pairs from product descriptions in order to augment product databases by representing each product as a set of attribute-value pairs. Such a representation is useful for a variety of tasks where treating a product as a set of attribute-value pairs is more useful than as an atomic entity. We formulate the extraction task as a classification prob...