A Statistical Approach to Star Rating Classification of Sentiment

2012 ◽  
pp. 251-260 ◽  
Author(s):  
Alexander Hogenboom ◽  
Ferry Boon ◽  
Flavius Frasincar
Keyword(s):  
Statistical Approach ◽  
Star Rating

Statistical Approach for Classification of Dinosaur Eggs from the Heyuan Basin at the Northeast of Guangdong Province

2012 ◽  
Vol 86 (2) ◽  
pp. 294-303 ◽  
Author(s):  
Kohei TANAKA ◽  
LÜ Junchang ◽  
LIU Yi ◽  
HUANG Zhiqing ◽  
Yoshitsugu KOBAYASHI ◽  
...  
Keyword(s):  
Statistical Approach ◽  
Guangdong Province ◽  
Dinosaur Eggs

A statistical approach to classification of the Cambro–Ordovician galeate acritarch plexus

2002 ◽  
Vol 118 (1-4) ◽  
pp. 239-259 ◽  
Author(s):  
Ludovic Stricanne ◽  
Thomas Servais
Keyword(s):  
Statistical Approach

scholarly journals Effect of anisotropy coeficient on error rates of linear discriminant functions

2021 ◽  
Vol 47 ◽  
Author(s):  
Kęstutis Dučinskas ◽  
Lina Dreižienė
Keyword(s):  
Spatial Data ◽  
Supervised Classification ◽  
Statistical Approach ◽  
Gaussian Random Field ◽  
Error Rates ◽  
Discriminant Functions ◽  
Linear Discriminant ◽  
Recognition Error ◽  
Two Populations

Paper deals with statistical classification of spatial data as a part of widely applicable statistical approach to pattern recognition. Error rates in supervised classification of Gaussian random field observation into one of two populations specified by different constant means and common stationary geometric anisotropic covariance are considered. Formula for the exact Bayesian error rate is derived. The influence of the ratio of anisotropy to the error rates is evaluated numerically for the case of complete parametric certainty.

A statistical approach to IP-level classification of network traffic

2006 ◽  
Author(s):  
Manuel Crotti ◽  
Francesco Gringoli ◽  
Paolo Pelosato ◽  
Luca Salgarelli
Keyword(s):  
Network Traffic ◽  
Statistical Approach

The nutritional quality of supermarket own brand chilled convenience foods: an Australian cross-sectional study reveals limitations of the Health Star Rating

2020 ◽  
Vol 23 (12) ◽  
pp. 2068-2077 ◽  
Author(s):  
Claire Elizabeth Pulker ◽  
Heather Robertson Farquhar ◽  
Christina Mary Pollard ◽  
Jane Anne Scott
Keyword(s):  
Nutritional Quality ◽  
Cross Sectional Study ◽  
Food Groups ◽  
Cross Sectional ◽  
Nutrition Labels ◽  
Star Rating ◽  
Photographic Images ◽  
Corporate Social

AbstractObjective:To assess the nutritional quality of Australian supermarket own brand chilled convenience foods (SOBCCF), for example, ready meals, pizza, pies and desserts.Design:Cross-sectional.Setting:Two large supermarkets (Coles and Woolworths) in Perth, Western Australia were audited in February 2017.Participants:Data were extracted from photographic images of 291 SOBCCF, including front-of-pack information (i.e. product name, description and nutrition labels including Health Star Rating (HSR)) and back-of-pack information (i.e. nutrition information panel and ingredients list). SOBCCF were classified as healthy or unhealthy consistent with principles of the Australian Guide to Healthy Eating (AGTHE), NOVA classification of level of food processing and HSR score.Results:Fifty-four percentage of SOBCCF were classified as unhealthy according to AGTHE principles, 94 % were ultra-processed foods using NOVA and 81 % scored a HSR of ≥2·5, implying that they were a healthy choice. Some convenience food groups comprised more healthy choices overall including prepared vegetables, salad kits and bowls, soups and vegetarian food. A significantly larger proportion of SOBCCF from Coles were classified as unhealthy compared with Woolworths (70 v. 44 %, P < 0·05) using the AGTHE.Conclusions:The findings suggest there is potential for Australian supermarkets to improve the nutritional quality of their SOBCCF and highlights the differences between supermarkets in applying their corporate social responsibility policies. Policies to assist consumers to select healthier foods should address difficulties in identifying healthy convenience foods. The findings reveal misclassification of unhealthy SOBCCF as healthy by the HSR suggesting that its algorithm should be reformed to align with recommendations of the AGTHE.

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