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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm

verfasst von : Amir Javadpour, Samira Rezaei, Kuan-Ching Li, Guojun Wang

Erschienen in: Advances in Signal Processing and Intelligent Recognition Systems

Verlag: Springer Singapore

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Abstract

Due to the fast-growing volume of text document and reviews in recent years, current analyzing techniques are not competent enough to meet the users’ needs. Using feature selection techniques not only support to understand data better but also lead to higher speed and also accuracy. In this article, the Whale Optimization algorithm is considered and applied to the search for the optimum subset of features. As known, F-measure is a metric based on precision and recall that is very popular in comparing classifiers. For the evaluation and comparison of the experimental results, PART, random tree, random forest, and RBF network classification algorithms have been applied to the different number of features. Experimental results show that the random forest has the best accuracy on 500 features.

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Literatur
1.
2.
3.
Javadpour, A., Kazemi Abharian, S., Wang, G.: Feature selection and intrusion detection in cloud environment based on machine learning algorithms. In: 2017 IEEE International Symposium Parallel Distribution Processing with Application 2017 IEEE International Conference Ubiquitous Computing Communications, pp. 1417–1421 (2017)
4.
Javadpour, A., Wang, G., Rezaei, S., Chend, S.: Power curtailment in cloud environment utilising load balancing machine allocation. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), pp. 1364–1370 (2018)
5.
Yang, W., Wang, G., Choo, K.-K.R., Chen, S.: HEPart: a balanced hypergraph partitioning algorithm for big data applications. Futur. Gener. Comput. Syst. 83, 250–268 (2018)CrossRef
6.
Zhang, Q., Liu, Q., Wang, G.: PRMS: a personalized mobile search over encrypted outsourced data. IEEE Access 6, 31541–31552 (2018)CrossRef
7.
Zhang, S., Wang, G., Bhuiyan, M.Z.A., Liu, Q.: A dual privacy preserving scheme in continuous location-based services. IEEE Internet Things J. 5(5), 1 (2018)CrossRef
8.
Ali, F., Kwak, K.-S., Kim, Y.-G.: Opinion mining based on fuzzy domain ontology and support vector machine: a proposal to automate online review classification. Appl. Soft Comput. 47, 235–250 (2016)CrossRef
9.
Javadpour, A., Memarzadeh-Tehran, H.: A wearable medical sensor for provisional healthcare. In: ISPTS 2015 – Proceedings of 2nd International Symposium Physics and Technology Sensors Dive Deep Into Sensors, pp. 293–296 (2015)
10.
Javadpour, A., Memarzadeh-Tehran, H., Saghafi, F.: A temperature monitoring system incorporating an array of precision wireless thermometers. In: 2015 International Conference on Smart Sensors and Application (ICSSA), pp. 155–160 (2015)
11.
Balazs, J.A., Velásquez, J.D.: Opinion mining and information fusion: a survey. Inf. Fusion 27, 95–110 (2016)CrossRef
12.
Karampatsis, R.-M., Pavlopoulos, J., Malakasiotis, P.: AUEB: two stage sentiment analysis of social network messages. In: SemEval@COLING (2014)
13.
Zhu, X., Kiritchenko, S., Mohammad, S.: NRC-Canada-2014: recent improvements in the sentiment analysis of tweets. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 443–447 (2014)
14.
Santosh, D.T., Babu, K.S., Prasad, S.D.V., Vivekananda, A.: Opinion mining of online product reviews from traditional LDA topic clusters using feature ontology tree and sentiwordnet. Int. J. Educ. Manag. Eng. 6(6), 34 (2016)CrossRef
15.
Mafarja, M.M., Mirjalili, S.: Hybrid whale optimization algorithm with simulated annealing for feature selection. Neurocomputing 260, 302–312 (2017)CrossRef
16.
Ahmad, S.R., Bakar, A.A., Yaakub, M.R.: Metaheuristic algorithms for feature selection in sentiment analysis. In: 2015 Science and Information Conference (SAI), pp. 222–226 (2015)
17.
Rajamohana, S.P., Umamaheswari, K., Keerthana, S.V.: An effective hybrid cuckoo search with harmony search for review spam detection. In: 2017 Third International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), pp. 524–527 (2017)
18.
Ahmad, S.R., Yaakub, M.R., Bakar, A.A., et al.: Detecting relationship between features and sentiment words using hybrid of typed dependency relations layer and POS tagging (TDR Layer POS Tags) algorithm. Int. J. Adv. Sci. Eng. Inf. Technol. 6(6), 1120–1126 (2016)CrossRef
19.
20.
21.
Forman, G.: An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3, 1289–1305 (2003)MATH
22.
Mirjalili, S., Lewis, A.: The whale optimization algorithm. Adv. Eng. Softw. 95, 51–67 (2016)CrossRef
Metadaten
Titel
A Scalable Feature Selection and Opinion Miner Using Whale Optimization Algorithm
verfasst von
Amir Javadpour
Samira Rezaei
Kuan-Ching Li
Guojun Wang
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Advances in Signal Processing and Intelligent Recognition Systems

Print ISBN: 978-981-15-4827-7

Electronic ISBN: 978-981-15-4828-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-4828-4_20

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