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Specialized Review Selection for Feature Rating Estimation
2009
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology
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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
2013
Knowledge and Information Systems
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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
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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
2010
Journal of Intelligent Systems
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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]
2017
arXiv
pre-print
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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
2006
Current Bioinformatics
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, 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
2021
Nuclear Engineering and Technology
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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
2009
Briefings in Bioinformatics
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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]
2019
arXiv
pre-print
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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
2020
International Workshop on Software Measurement
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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
2022
IEEE Access
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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
2017
Sensors
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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
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The file type is application/pdf.
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
2021
EAI Endorsed Transactions on Energy Web
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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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