• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.65-87
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• 2017

We propose a method to analyze the user reviews and ratings of the products in the online shopping mall and automatically extracts the features of the products to determine the characteristics of a product. By judging whether a rating is given by a specific feature of a product, our method distributes the score to each feature. Conventional methods force users to wastes time reading overflowing number of reviews and ratings to decide whether to buy the product or not. Moreover, it is difficult to grasp the merits and demerits of the product, because of the way reviews and ratings are provided. It is structured in a way that it is impossible to decide which rating is given to the which characteristics of the product. Therefore, in this paper, to resolve this problem, we propose a method to automatically extract the feature of the product from the user review and distribute the score to appropriate characteristics of the product by calculating the rating of each feature from the overall rating. proposed method collects product reviews and ratings, conducts morphological analysis, and extracts features and emotional words of the products. In addition, a method for determining the polarity of a sentence in which the feature appears is given a weight value for each feature. results of the experiment and the questionnaires comparing the existing methods show the usefulness of the proposed method. We also validates the results by comparing the analysis conducted by the product review experts.

• Journal of Animal Science and Technology
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• v.52 no.4
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• pp.271-280
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• 2010

This study was conducted to investigate the effects of Aspergillus niger-derived multi-enzyme complex supplementation to feedrestricted lactating sows on performances, milk yield, blood profiles, and manure excretion as compared with ad libitum-fed sows without supplementation of enzyme. Fifty multiparous lactating Berkshire sows were allotted to 5 treatments of 10 sows per treatment during a 28-d lactation period and litter per sow was standardized to 9 suckling piglets. Treatments were ad libitum-fed sows without enzyme and feed-restricted sows supplemented with four increasing levels (0, 0.02, 0.04 and 0.08%) of multi-enzyme complex derived from Aspergillus niger. Blood samples from all sows were collected to determine serum metabolite concentrations before the morning feeding on d 27 of lactation. Litter body weight and a piglet weight at weaning, and litter weight gain significantly (P<0.05) increased with increasing levels of multi-enzyme complex, but there was no significant difference between ad libitum-fed sows without enzyme and feed-restricted sows supplemented with multi-enzyme complex. Body condition score and backfat depth at weaning significantly (P<0.05) increased as multi-enzyme complex level increased. Lactational backfat depth tended (P>0.05) to less decrease with increasing levels of enzyme complex. Serum inorganic phosphorus and non-esterified fatty acid concentrations significantly (P<0.05) increased with increasing levels of enzyme complex. Daily milk yield was not significantly different across treatments, but milk fat yield significantly (P<0.05) increased as multi-enzyme complex level increased. Manure output was significantly (P<0.01) higher for ad libitum-fed sows than for feed-restricted sows, but there was no significant difference among feed-restricted sows supplemented with increasing levels of multi-enzyme complex. Fecal phosphorus amount significantly (P<0.05) decreased with increasing levels of multi-enzyme complex. Feed costs of sows per litter weight gain were reduced by 1.25% to 9.67% with increasing levels of multi-enzyme complex as compared with ad libitum-fed sows without enzyme. The results indicated that multi-enzyme supplementation to feed-restricted lactating sows not only increased litter performances, but also was comparable to ad libitum-fed sows, resulting in reduced feed costs. Moreover, the reduction of fecal phosphorus amount with increasing levels of enzyme complex would contribute to the reduction of environmental pollution.