Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 7
Page No. 2055 - 2094

English Sentiment Classification using A Hamann Coefficient and a Genetic Algorithm with a Roulette-Wheel Selection in a Parallel Network Environment

Authors : Vo Ngoc Phu and Vo Thi Ngoc Tran

References

Agarwal, B. and N. Mittal, 2016. Machine Learning Approach for Sentiment Analysis. In: Prominent Feature Extraction for Sentiment Analysis, Agarwal, B. and N. Mittal (Eds.). Springer, Germany, ISBN:978-3-319-25341-1, pp: 21-45.

Agarwal, B. and N. Mittal, 2016. Machine Learning Approach for Sentiment Analysis. In: Prominent Feature Extraction for Sentiment Analysis, Agarwal, B. and N. Mittal (Eds.). Springer, Germany, ISBN:978-3-319-25341-1, pp: 21-45.

Ahmed, S. and A. Danti, 2016. Effective Sentimental Analysis and Opinion Mining of Web Reviews using Rule based Classifiers. In: Computational Intelligence in Data Mining, Behera, H. and D. Mohapatra (Eds.). Springer, New Delhi, India, ISBN:978-81-322-2732-8, pp: 171-179.

Anonymous, 2017. 3.8. converting decimal numbers to binary numbers. RSI Ltd. http://interactivepython.org/runestone/static/pythonds/BasicDS/ConvertingDecimalNumberstoBinaryNumbers.html#converting-decimal-numbers-to-binary-numbers

Anonymous, 2017. ASCII alphabet characters. American Standard Code for Information Interchange, USA. http://www.kerryr.net/pioneers/ascii2.htm.

Anonymous, 2017. ASCII codes table. American Standard Code for Information Interchange, USA.

Anonymous, 2017. ASCII codes table. American Standard Code for Information Interchange, USA.

Anonymous, 2017. ASCII table, ASCII codes. American Standard Code for Information Interchange, USA. http://www.theasciicode.com.ar/.

Anonymous, 2017. Binary to decimal conversion. AspenCore, Aspen, Colorado. http://www.electronics-tutorials.ws/binary/bin_2.html.

Anonymous, 2017. Binary to decimal converter. RapidTables.com. https://www.rapidtables.com/convert/number/binary-to-decimal.html

Anonymous, 2017. Converting from decimal to binary. Khan Academy, California, USA. https://www.khanacademy.org/math/algebra-home/alg-intro-to-algebra/algebra-alternate-number-bases/v/decimal-to-binary.

Anonymous, 2017. Decimal to binary converter. Binary Hex Decimal Converter. https://www.binaryhexconverter.com/decimal-to-binary-converter

Anonymous, 2017. How to convert from decimal to binary. WikiHow, Palo Alto, California, USA. https://www.wikihow.com/Convert-from-Decimal-to-Binary.

Anonymous, 2017. The ASCII character set. American Standard Code for Information Interchange, USA. http://ee.hawaii.edu/~tep/EE160/Book/chap4/subsection2.1.1.1.html.

Bai, A., H. Hammer, A. Yazidi and P. Engelstad, 2014. Constructing sentiment lexicons in Norwegian from a large text corpus. Proceedings of the 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE’14), December 19-21, 2014, IEEE, Chengdu, China, ISBN:978-1-4799-7980-6, pp: 231-237.

Brooke, J., M. Tofiloski and M. Taboada, 2009. Cross-linguistic sentiment analysis: From English to Spanish. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP’09), September 14-16, 2009, Association for Computational Linguistics, Borovets, Bulgaria, pp: 50-54.

Canuto, S., M.A. Goncalves and F. Benevenuto, 2016. Exploiting new sentiment-based meta-level features for effective sentiment analysis. Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM'16), February 22-25, 2016, ACM, San Francisco, California, USA., ISBN:978-1-4503-3716-8, pp: 53-62.

Choi, S.S., S.H. Cha and C.C. Tappert, 2010. A survey of binary similarity and distance measures. J. Syst. Cybern. Inf., 8: 43-48.
Direct Link  |  

Dat, N.D., V.N. Phu, V.T.N. Tran, V.T.N. Chau and T.A. Nguyen, 2017. STING algorithm used English sentiment classification in a parallel environment. Intl. J. Pattern Recognit. Artif. Intell., 31: 1-30.
CrossRef  |  Direct Link  |  

David, H.G., S.D. Hamann and R.B. Thomas, 1959. The second virial coefficients of some cyclic hydrocarbons. Aust. J. Chem., 12: 309-318.
CrossRef  |  Direct Link  |  

Davis, L., 1991. Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, USA., ISBN:9780442001735, Pages: 385.

Du, W., S. Tan, X. Cheng and X. Yun, 2010. Adapting information bottleneck method for automatic construction of domain-oriented sentiment lexicon. Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM’10), February 04-06, 2010, ACM, New York, USA., ISBN:978-1-60558-889-6, pp: 111-120.

Erkaya, S. and I. Uzmay, 2016. Balancing of Planar Mechanisms having Imperfect Joints using Neural Network-Genetic Algorithm (NN-GA) Approach. In: Dynamic Balancing of Mechanisms and Synthesizing of Parallel Robots, Zhang, D. and B. Wei (Eds.). Springer, Germany, ISBN:978-3-319-17682-6, pp: 299-317.

Feng, S., L. Zhang, B. Li, D. Wang and G. Yu et al., 2013. Is Twitter a better corpus for measuring sentiment similarity?. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, October 18-21, 2013, Association for Computational Linguistics, Seattle, Washington, USA., pp: 897-902.

Grigsby, J., K. Kaye, J. Baxter, S.M. Shetterly and R.F. Hamman, 1998. Executive cognitive abilities and functional status among community‐dwelling older persons in the San Luis Valley health and aging study. J. Am. Geriatrics Soc., 46: 590-596.
CrossRef  |  PubMed  |  Direct Link  |  

Hernandez-Ugalde, J.A., J. Mora-Urpi and O.J. Rocha, 2011. Genetic relationships among wild and cultivated populations of peach palm (Bactris gasipaes Kunth, Palmae): Evidence for multiple independent domestication events. Genet. Resour. Crop Evol., 58: 571-583.
Direct Link  |  

Htait, A., S. Fournier and P. Bellot, 2016. LSIS at SemEval-2016 task 7: Using web search engines for English and Arabic unsupervised sentiment intensity prediction. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval’16), June 16-17, 2016, Association for Computational Linguistics, San Diego, California, pp: 469-473.

Ji, X., S.A. Chun, Z. Wei and J. Geller, 2015. Twitter sentiment classification for measuring public health concerns. Social Netw. Anal. Min., 5: 1-25.
CrossRef  |  Direct Link  |  

Jiang, T., J. Jiang, Y. Dai and A. Li, 2015. Micro-blog emotion orientation analysis algorithm based on Tibetan and Chinese mixed text. Proceedings of the International Symposium on Social Science (ISSS’15), August 29-30, 2015, Atlantis Press, Atlanta, pp: 157-162.

Jovanoski, D., V. Pachovski and P. Nakov, 2015. Sentiment Analysis in Twitter for Macedonian. In: Proceedings of the International Conference Recent Advances in Natural Language Processing, Angelova, G., K. Bontcheva and R. Mitkov (Eds.). INCOMA Ltd., Hissar, Bulgaria, pp: 249-257.

Kora, P. and K.S.R. Krishna, 2016. Bundle Block Detection using Genetic Neural Network. In: Information Systems Design and Intelligent Applications, Satapathy, S., J. Mandal, S. Udgata and V. Bhateja (Eds.). Springer, New Delhi, ISBN:978-81-322-2750-2, pp: 309-317.

Lee, A., M. Ahmadi, G.A. Jullien, W.C. Miller and R.S. Lashkari, 1998. Digital filter design using genetic algorithm. Proceedings of the 1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing, June 5-6, 1998, IEEE, Victoria, Canada, pp: 34-38.

Lipowski, A. and D. Lipowska, 2012. Roulette-wheel selection via stochastic acceptance. Phys. A Stat. Mech. Appl., 391: 2193-2196.
CrossRef  |  Direct Link  |  

Malouf, R. and T. Mullen, 2017. Graph-based user classification for informal online political discourse. J. Comput. Sci., 1: 1-8.

Mao, H., P. Gao, Y.Y. Wang and J. Bollen, 2014. Automatic construction of financial semantic orientation lexicon from large-scale Chinese news corpus. Inst. Louis Bachelier, 20: 1-18.
Direct Link  |  

Meyer, A.S., A.F. Garcia and A.P. Souza, 2004. Comparison of similarity coefficients used for cluster analysis with dominant markers in maize (Zea mays L.). Genet. Mol., 27: 83-91.
Direct Link  |  

Mladenovic, S.D., A. Nikolic and V. Peric, 2008. Cluster analysis of soybean genotypes based on RAPD markers. Proceedings of the 43rd Croatian and 3rd International Symposium on Agriculture, February 18-21, 2008, University of Zagreb, Opatija, Croatia, pp: 367-370.

Netzer, O., R. Feldman, J. Goldenberg and M. Fresko, 2012. Mine your own business: Market-structure surveillance through text mining. Marketing Sci., 31: 521-543.
CrossRef  |  Direct Link  |  

Ngoc, P.V., C.V.T. Ngoc, T.V.T. Ngoc and D.N. Duy, 2017. A C4.5 algorithm for English emotional classification. Evoling Syst., 1: 1-27.
CrossRef  |  Direct Link  |  

Omar, N., M. Albared, A.A.Q. Shabi and A.T. Moslmi, 2013. Ensemble of classification algorithms for subjectivity and sentiment analysis of arabic customers' reviews. Int. J. Advancements Comput. Technol., 5: 77-85.
Direct Link  |  

Panda, B., J.S. Herbach, S. Basu and R.J. Bayardo, 2009. Planet: massively parallel learning of tree ensembles with mapreduce. Proc. VLDB. Endowment, 2: 1426-1437.
CrossRef  |  Direct Link  |  

Phu, V.N. and P.T. Tuoi, 2014. Sentiment classification using enhanced contextual valence shifters. Proceedings of the 2014 International Conference on Asian Language Processing (IALP’14), October 20-22, 2014, IEEE, Kuching, Malaysia, ISBN:978-1-4799-5331-8, pp: 224-229.

Phu, V.N., N.D. Dat, V.T.N. Tran, V.T.N. Chau and T.A. Nguyen, 2017. Fuzzy C-means for english sentiment classification in a distributed system. Appl. Intell., 46: 717-738.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Chau and V.T.N. Tran, 2017. SVM for English semantic classification in parallel environment. Intl. J. Speech Technol., 20: 487-508.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Chau and V.T.N. Tran, 2017. Shifting semantic values of English phrases for classification. Intl. J. Speech Technol., 20: 509-553.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Chau, N.D. Dat, V.T.N. Tran and T.A. Nguyen, 2017. A valences-totaling model for English sentiment classification. Knowl. Inf. Syst., 53: 579-636.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Chau, V.T.N. Tran and N.D. Dat, 2017. A Vietnamese adjective emotion dictionary based on exploitation of Vietnamese language characteristics. Artif. Intell. Rev., 1: 1-67.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Chau, V.T.N. Tran, D.N. Duy and K.L.D. Duy, 2017. A valence-totaling model for Vietnamese sentiment classification. Evolving Syst., 1: 1-47.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Tran, V.T.N. Chau, D.N. Duy and K.L.D. Duy, 2017. Semantic lexicons of English nouns for classification. Evolving Syst., 1: 1-65.
CrossRef  |  Direct Link  |  

Phu, V.N., V.T.N. Tran, V.T.N. Chau, N.D. Dat and K.L.D. Duy, 2017. A decision tree using ID3 algorithm for English semantic analysis. Intl. J. Speech Technol., 20: 593-613.
CrossRef  |  Direct Link  |  

Ponomarenko, J.V., P.E. Bourne and I.N. Shindyalov, 2002. Building an automated classification of DNA-binding protein domains. Bioinf., 18: S192-S201.
PubMed  |  Direct Link  |  

Ren, Y., N. Kaji, N. Yoshinaga and M. Kitsuregawa, 2014. Sentiment classification in under-resourced languages using graph-based semi-supervised learning methods. IEICE. Trans. Inf. Syst., 97: 790-797.
CrossRef  |  Direct Link  |  

Ren, Y., N. Kaji, N. Yoshinaga, M. Toyoda and M. Kitsuregawa, 2011. Sentiment classification in resource-scarce languages by using label propagation. Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC’11), December 16-18, 2011, Nanyang Technological University, Singapore, ISBN:978-4-905166-02-3, pp: 420-429.

Scheible, C., 2010. Sentiment translation through lexicon induction. Proceedings of the 2010 Workshop on ACL Student Research (ACLstudent'10), July 13, 2010, Association for Computational Linguistics, Uppsala, Sweden, pp: 25-30.

Schnyer, D.M., M. Verfaellie, M.P. Alexander, G. LaFleche and L. Nicholls et al., 2004. A role for right medial prefrontal cortex in accurate feeling-of-knowing judgments: Evidence from patients with lesions to frontal cortex. Neuropsychologia, 42: 957-966.
CrossRef  |  PubMed  |  Direct Link  |  

Schraw, G., 1995. Measures of feeling‐of‐knowing accuracy: A new look at an old problem. Appl. Cognit. Psychol., 9: 321-332.
CrossRef  |  Direct Link  |  

Shikalgar, N.R. and A.M. Dixit, 2014. JIBCA: Jaccard Index Based Clustering Algorithm for mining online review. Intl. J. Comput. Appl., 105: 23-28.
Direct Link  |  

Tamas, J., J. Podani and P. Csontos, 2001. An extension of presence/absence coefficients to abundance data: A new look at absence. J. Veg. Sci., 12: 401-410.
CrossRef  |  Direct Link  |  

Tan, S. and J. Zhang, 2008. An empirical study of sentiment analysis for Chinese documents. Expert Syst. Appl., 34: 2622-2629.
CrossRef  |  Direct Link  |  

Tat, C.W. and F. Tao, 2003. Using GIS and genetic algorithm in highway alignment optimization. Proceedings of the 2003 IEEE conference on Intelligent Transportation Systems Vol. 2, October 12-15, 2003, IEEE, Shanghai, China, pp: 1563-1567.

Turney, P.D. and M.L. Littman, 2002. Unsupervised learning of semantic orientation from a hundred-billion-word corpus. Comput. Sci., 1: 1-13.
Direct Link  |  

Urbina, E.M., R.P. Wadwa, C. Davis, B.M. Snively and L.M. Dolan et al, 2010. Prevalence of Increased Arterial Stiffness in Children with Type 1 Diabetes Mellitus Differs by Measurement Site and Sex: The SEARCH for Diabetes in Youth Study J. Pediatr., 156: 731-737.
CrossRef  |  

Wan, X., 2009. Co-training for cross-lingual sentiment classification. Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP Vol. 1, August 02-07, 2009, Association for Computational Linguistics, Suntec, Singapore, ISBN:978-1-932432-45-9, pp: 235-243.

Wang, G. and K. Araki, 2007. Modifying SO-PMI for Japanese weblog opinion mining by using a balancing factor and detecting neutral expressions. Proceedings of the Conference of the North American Chapter of the Association on Computational Linguistics Human Language Technologies; Companion Volume, Short Papers (NAACL-Short'07), April 22-27, 2007, Association for Computational Linguistics, Rochester, New York, USA., pp: 189-192.

Wu, J., H. Wu, Y. Song, Y. Cheng and W. Zhao et al., 2016. Genetic algorithm trajectory plan optimization for EAMA: EAST articulated maintenance ARM. Fusion Eng. Des., 109: 700-706.
CrossRef  |  Direct Link  |  

Yang, G., S. Wu, Q. Jin and J. Xu, 2016. A hybrid approach based on stochastic competitive hopfield neural network and efficient genetic algorithm for frequency assignment problem. Appl. Soft Comput., 39: 104-116.
CrossRef  |  Direct Link  |  

Zhang, Z., Q. Ye, W. Zheng and Y. Li, 2010. Sentiment classification for consumer word-of-mouth in Chinese: Comparison between supervised and unsupervised approaches. Proceedings of the 2010 International Conference on E-Business Intelligence (ICEBI’10), December 19-21, 2010, Atlantis Press, Atlanta, ISBN:978-90-78677-40-6, pp: 427-433.

Zou, Y., Z. Mi and M. Xu, 2006. Dynamic load balancing based on roulette wheel selection. Proceedings 2006 International Conference on Communications, Circuits and Systems Vol. 3, June 25-28, 2006, IEEE, Guilin, China, pp: 1732-1734.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved