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Specialized Review Selection for Feature Rating Estimation

Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
In this paper, we propose an approach to accurately estimate feature ratings of the products.  ...  This approach selects user reviews that extensively discuss specific features of the products (called specialized reviews), using information distance of reviews on the features.  ...  CONCLUSION AND FUTURE WORK We developed a novel approach to accurately estimate feature ratings of products, making use of a review selection method for selecting specialized reviews based on information  ... 
doi:10.1109/wi-iat.2009.38 dblp:conf/webi/LongZHZLM09 fatcat:7dur73s5bngdfnyngq6asubpue

Estimating feature ratings through an effective review selection approach

Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma
2013 Knowledge and Information Systems  
Unfortunately, only a very few websites have collected feature ratings. In this paper, we propose a novel approach to accurately estimate feature ratings of products.  ...  This approach selects user reviews that extensively discuss specific features of the products (called specialized reviews), using information distance of reviews on the features.  ...  Finally, we validate our approach in estimating feature ratings. In general, our approach is able to accurately estimate feature ratings.  ... 
doi:10.1007/s10115-012-0495-8 fatcat:mubbsuh7tve27jb4nyvgasvdnu

E-Commerce Product Classification using Lexical Based Hybrid Feature Extraction and SVM

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The polarity of words is discovered using a lexical based approach to extract positive reviews for obtaining the best products. Finally, the SVM is exploited to the classification of products.  ...  method to classify and separate the products from the large set of different products depending on their features, best product ratings and positive reviews.  ...  In this paper, a new approach is proposed with t-SNE and SVM for the product classification based on neighbor's ratings.  ... 
doi:10.35940/ijitee.l3608.119119 fatcat:uw4etmgcd5cqhcav3r5ms2knmi

Supervised Learning Approaches for Rating Customer Reviews

Kiran Sarvabhotla, Prasad Pingali, Vasudeva Varma
2010 Journal of Intelligent Systems  
These ratings usually vary on a scale from one to five (stars) or very bad to excellent. In this paper we address the problem of attributing a numerical score (one to five stars) to a review.  ...  We focus more on feature representations of reviews widely used; problems associated with them and present solutions which address them.  ...  Acknowledgements We thank Stefano and Andrea for providing us a link in [2] to download the dataset which contains reviews on hotels in Rome and Pisa.  ... 
doi:10.1515/jisys.2010.19.1.79 fatcat:6dt5vsnnwveopkt5euksi5fjvm

Marginal false discovery rates for penalized regression models [article]

Patrick Breheny
2017 arXiv   pre-print
Restricting attention to the marginal FDR permits straightforward estimation of the number of selections that would likely have occurred by chance alone, and therefore provides a useful summary of selection  ...  Here, we consider the analysis of marginal false discovery rates for penalized regression methods.  ...  Acknowledgments I would like to thank Jian Huang for fruitful discussions of this idea when it was still in its early stages, Ina Hoeschele for discussions of the permutation approach, and Ryan Boudreau  ... 
arXiv:1607.05636v2 fatcat:a5ltcoxj6fdd3ituvdprqrvm7m

Gene Expression Profile Classification: A Review

Musa Asyali, Dilek Colak, Omer Demirkaya, Mehmet Inan
2006 Current Bioinformatics  
, feature extraction/selection, and measuring or estimating classifier performance.  ...  We attempted to present a unified approach that considers both class-prediction and class-discovery.  ...  The other major approach for feature selection is based on the gene subset search.  ... 
doi:10.2174/157489306775330615 fatcat:ltq7nndet5djpnd5eaghmfbvfm

The ensemble approach in comparison with the diverse feature selection techniques for estimating NPPs parameters using the different learning algorithms of the feed-forward neural network

Khalil Moshkbar-Bakhshayesh
2021 Nuclear Engineering and Technology  
The proposed methodology gives a simple and practical approach for more reliable and more accurate estimation of the target parameters compared to the methods such as the use of synthetic dataset or trial  ...  Several reasons such as no free lunch theorem indicate that there is not a universal Feature selection (FS) technique that outperforms other ones.  ...  Acknowledgements The author would like to express his special gratitude to the research office of the Sharif University of Technology for the support in the present study.  ... 
doi:10.1016/j.net.2021.06.030 fatcat:snbrz6rv5ndqnj3mnhycd4scgu

Development of biomarker classifiers from high-dimensional data

Songjoon Baek, Chen-An Tsai, James J. Chen
2009 Briefings in Bioinformatics  
A 'frequency' approach to feature selection is presented and compared to the 'conventional' approach in terms of the predictive accuracy and stability of the selected feature set.  ...  The two approaches are compared based on four biomarker classifiers, each with a different feature selection method and well-known classification algorithm.  ...  The authors would like to thank three reviewers for providing valuable comments and suggestions that improved this article considerably.  ... 
doi:10.1093/bib/bbp016 pmid:19346320 fatcat:jzdgtcn6zzf6dihqdxaa2vsice

Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges [article]

Hidetomo Kataoka, Jeremy White Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan, College of Engineering, Shibaura Institute of Technology, Toyosu, Tokyo, Japan)
2019 arXiv   pre-print
The estimation of storage time was sufficiently accurate for casual users to select fruits in their favorite condition at home.  ...  fruit firmness tester, for a period of 35 days for tomatoes and 60 days for mandarin oranges.  ...  Acknowledgements This work was supported by Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (15H05924) to TI and AH and by Information-Technology Promotion Agency (IPA)  ... 
arXiv:1809.10581v2 fatcat:qwzwke6lobd5refcguv6q4q3om

Selecting Suitable Software Effort Estimation Method

Duygu Deniz Erhan, Ayça Kolukisa Tarhan, Rana Özakinci
2020 International Workshop on Software Measurement  
In this study, we proposed an approach for selecting the most suitable estimation method for a software project by considering the project characteristics and the stakeholder needs.  ...  With the decision matrix, the estimator can select the most suitable method for his/her estimation by answering the questionnaire.  ...  [3] proposed an approach for selecting a machine learning effort estimation method for specific datasets. They selected nine machine learning methods as decision alternatives.  ... 
dblp:conf/iwsm/ErhanTO20 fatcat:6ptqbzg4kvgk5ofc4fiedbueum

Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review

Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok, Siti Dianah Abdul Bujang, Hamido Fujita
2022 IEEE Access  
A total of 48 related articles from 2011 to 2021 were selected to assess the review questions.  ...  The outcome of this review serves as a toolkit for the researchers to develop effective MVI models.  ...  ACKNOWLEDGMENT The authors are grateful for the support of student Michal Dobrovolny in consultations regarding application aspects and Universiti Malaysia Sarawak (UNIMAS).  ... 
doi:10.1109/access.2022.3172319 fatcat:mv3jbssdsbhb3grrh6xz436sdq

The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors

Heesu Park, Suh-Yeon Dong, Miran Lee, Inchan Youn
2017 Sensors  
We first give a brief review of some of the existing approaches for HAR and EE estimation using wearable sensors. Then, we introduce our database and the wearable sensors used in this study.  ...  However, as mentioned in a recent review by Lara and Labrador [3] , physiological signals such as heart rate, respiration rate, and electrocardiogram (ECG) have attracted little interest.  ...  Some researchers have already used additional physiological signals such as heart rate (HR) for more accurate estimation.  ... 
doi:10.3390/s17071698 pmid:28737732 pmcid:PMC5539477 fatcat:lnd3jlrfznewvjd3ossk4ir7ii

ENHANCEMENT STRATEGIES FOR FRAME-TO-FRAME UAS STEREO VISUAL ODOMETRY

J. Kersten, V. Rodehorst
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Feature bucketing and keyframe selection are simple but effective strategies which further improve the VO results.  ...  We propose a frame-to-frame stereo VO method based on carefully selected components and parameters.  ...  Mean translation and rotation error rates for Tsukuba: the lowest error rates are highlighted Our basic VO method yields accurate trajectories of good quality.  ... 
doi:10.5194/isprs-archives-xli-b3-511-2016 fatcat:opknrazxnjebtje5idofuadsve

ENHANCEMENT STRATEGIES FOR FRAME-TO-FRAME UAS STEREO VISUAL ODOMETRY

J. Kersten, V. Rodehorst
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Feature bucketing and keyframe selection are simple but effective strategies which further improve the VO results.  ...  We propose a frame-to-frame stereo VO method based on carefully selected components and parameters.  ...  Mean translation and rotation error rates for Tsukuba: the lowest error rates are highlighted Our basic VO method yields accurate trajectories of good quality.  ... 
doi:10.5194/isprsarchives-xli-b3-511-2016 fatcat:5j734p3ldraw3igcv5cky2ose4

Early Size and Effort Estimation of Mobile Application Development

Ziema Mushtaq, Sami Alshmrany, Fahad Alturise, Tamim Alkhalifah
2021 EAI Endorsed Transactions on Energy Web  
There is a need for a specific methodology to be followed for accurate estimation of size and efforts.  ...  This research aims to review the effectiveness of COSMIC and Machine Learning techniques in performing mobile effort estimation and propose a hybrid approach for efficient mobile effort estimation.  ...  Related Literature [7] carried out a research study for feature selection-based model MICBR where feature selection algorithm and wrapper-based techniques were used.  ... 
doi:10.4108/eai.31-5-2021.170010 fatcat:eexhrgux2nbsrbt4rsdutkckoy
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