{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:38:38Z","timestamp":1740148718931,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T00:00:00Z","timestamp":1704326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T00:00:00Z","timestamp":1704326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sign Process Syst"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s11265-023-01860-0","type":"journal-article","created":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T16:01:31Z","timestamp":1704384091000},"page":"99-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Model Based on Big Data Environment for Text Content Security Recognition"],"prefix":"10.1007","volume":"96","author":[{"given":"Peng","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6826-1026","authenticated-orcid":false,"given":"Hui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"1860_CR1","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1016\/j.sysarc.2011.03.005","volume":"57","author":"J Li","year":"2011","unstructured":"Li, J., Ming, Z., Qiu, M., Quan, G., Qin, X., & Chen, T. (2011). Resource allocation robustness in multi-core embedded systems with inaccurate information. Journal of Systems Architecture, 57, 840\u2013849.","journal-title":"Journal of Systems Architecture"},{"key":"1860_CR2","doi-asserted-by":"crossref","unstructured":"Qiu, M., Li, H., & Sha, E. H.-M. (2009). Heterogeneous real-time embedded software optimization considering hardware platform. In Proceedings of the 2009 ACM symposium on Applied Computing (pp. 1637\u20131641).","DOI":"10.1145\/1529282.1529651"},{"issue":"8","key":"1860_CR3","doi-asserted-by":"publisher","first-page":"3123","DOI":"10.1007\/s10489-019-01425-4","volume":"49","author":"J Khan","year":"2019","unstructured":"Khan, J., Alam, A., Hussain, J., & Lee, Y.-K. (2019). Enswf: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification. Applied Intelligence, 49(8), 3123\u20133145.","journal-title":"Applied Intelligence"},{"key":"1860_CR4","doi-asserted-by":"crossref","unstructured":"Tao, L., Golikov, S., Gai, K., & Qiu, M. (2015). A reusable software component for integrated syntax and semantic validation for services computing. In 2015 IEEE Symposium on Service-Oriented System Engineering (pp. 127\u2013132). IEEE.","DOI":"10.1109\/SOSE.2015.10"},{"key":"1860_CR5","doi-asserted-by":"crossref","unstructured":"Murthy, N., & Gopalkrishnan, S. (2022). Does openness increase vulnerability to digital frauds? observing social media digital footprints to analyse risk and legal factors for banks. International Journal of Law and Management.","DOI":"10.1108\/IJLMA-04-2022-0081"},{"key":"1860_CR6","unstructured":"Xiao, H. (2022). Exploration of network information security technology and prevention in the digital age. Forest Chemicals Review, (pp. 557\u2013565)."},{"key":"1860_CR7","doi-asserted-by":"crossref","unstructured":"Giliazova, A. (2021). Classification of texts using a vocabulary of synonyms. In 2021 14th International Conference Management of large-scale system development (MLSD) (pp. 1\u20135). IEEE.","DOI":"10.1109\/MLSD52249.2021.9600131"},{"key":"1860_CR8","unstructured":"Zhang, G., Do, J.-Y., Raman, S., Mehta, C., Rahmat, A., Patel, S. (2015). Method and apparatus for optimizing positioning based on positioning compatibility classification. US Patent App. 14\/494,483."},{"key":"1860_CR9","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/j.sysarc.2012.07.001","volume":"58","author":"M Qiu","year":"2012","unstructured":"Qiu, M., Ming, Z., Li, J., Liu, S., Wang, B., & Lu, Z. (2012). Three-phase time-aware energy minimization with dvfs and unrolling for chip multiprocessors. Journal of Systems Architecture, 58, 439\u2013445.","journal-title":"Journal of Systems Architecture"},{"key":"1860_CR10","doi-asserted-by":"crossref","unstructured":"Firdaus, D. H., & Suyanto, S. (2020). Topic-based tweet clustering for public figures using ant clustering. In 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (pp. 476\u2013481). IEEE.","DOI":"10.1109\/ISRITI51436.2020.9315449"},{"key":"1860_CR11","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.jnca.2015.05.016","volume":"59","author":"K Gai","year":"2016","unstructured":"Gai, K., Qiu, M., Zhao, H., Tao, L., & Zong, Z. (2016). Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, 46\u201354.","journal-title":"Journal of Network and Computer Applications"},{"key":"1860_CR12","doi-asserted-by":"crossref","unstructured":"Yang, Y. (2017). Research and realization of internet public opinion analysis based on improved tf-idf algorithm. In 2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES) (pp. 80\u201383). IEEE.","DOI":"10.1109\/DCABES.2017.24"},{"key":"1860_CR13","doi-asserted-by":"crossref","unstructured":"Guo, A., & Yang, T. (2016). Research and improvement of feature words weight based on tfidf algorithm. In 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (pp. 415\u2013419). IEEE.","DOI":"10.1109\/ITNEC.2016.7560393"},{"key":"1860_CR14","doi-asserted-by":"crossref","unstructured":"Fan, H., & Qin, Y. (2018). Research on text classification based on improved tf-idf algorithm. In 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) (pp. 501\u2013506). Atlantis Press.","DOI":"10.2991\/ncce-18.2018.79"},{"key":"1860_CR15","doi-asserted-by":"crossref","unstructured":"Sun, P., Wang, L., & Xia, Q. (2017). The keyword extraction of chinese medical web page based on wf-tf-idf algorithm. In 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) (pp. 193\u2013198). IEEE.","DOI":"10.1109\/CyberC.2017.40"},{"key":"1860_CR16","doi-asserted-by":"crossref","unstructured":"Yamout, F., & Lakkis, R. (2018). Improved tfidf weighting techniques in document retrieval. In 2018 Thirteenth International Conference on Digital Information Management (ICDIM) (pp. 69\u201373). IEEE.","DOI":"10.1109\/ICDIM.2018.8847156"},{"key":"1860_CR17","doi-asserted-by":"publisher","first-page":"26996","DOI":"10.1109\/ACCESS.2019.2893980","volume":"7","author":"Z Zhu","year":"2019","unstructured":"Zhu, Z., Liang, J., Li, D., Yu, H., & Liu, G. (2019). Hot topic detection based on a refined tf-idf algorithm. IEEE access, 7, 26996\u201327007.","journal-title":"IEEE access"},{"key":"1860_CR18","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.ins.2018.10.006","volume":"477","author":"D Kim","year":"2019","unstructured":"Kim, D., Seo, D., Cho, S., & Kang, P. (2019). Multi-co-training for document classification using various document representations: Tf-idf, lda, and doc2vec. Information Sciences, 477, 15\u201329.","journal-title":"Information Sciences"},{"key":"1860_CR19","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Gao, B., He, Y., Han, Y., Doyle, P., & Zhu, Q. (2021). Text classification using novel term weighting scheme-based improved tf-idf for internet media reports. Mathematical Problems in Engineering, 2021.","DOI":"10.1155\/2021\/6619088"},{"key":"1860_CR20","doi-asserted-by":"crossref","unstructured":"Yao, L., Pengzhou, Z., & Chi, Z. (2019). Research on news keyword extraction technology based on tf-idf and textrank. In 2019 IEEE\/ACIS 18th International Conference on Computer and Information Science (ICIS) (pp. 452\u2013455). IEEE.","DOI":"10.1109\/ICIS46139.2019.8940293"},{"key":"1860_CR21","doi-asserted-by":"crossref","unstructured":"Liu, C.-Z., Sheng, Y.-X., Wei, Z.-Q., & Yang, Y.-Q. (2018). Research of text classification based on improved tf-idf algorithm. In 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE) (pp. 218\u2013222). IEEE.","DOI":"10.1109\/IRCE.2018.8492945"},{"key":"1860_CR22","doi-asserted-by":"crossref","unstructured":"Gao, J., He, Y., Zhang, X., & Xia, Y. (2017). Duplicate short text detection based on word2vec. In 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) (pp. 33\u201337). IEEE.","DOI":"10.1109\/ICSESS.2017.8342858"},{"key":"1860_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, H., Su, P., Wei, Y., Gai, K., & Qiu, M. (2021). Gan-enabled code embedding for reentrant vulnerabilities detection. In International Conference on Knowledge Science, Engineering and Management (pp. 585\u2013597). Springer.","DOI":"10.1007\/978-3-030-82153-1_48"},{"key":"1860_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2021.101913","volume":"135","author":"D Ramachandran","year":"2021","unstructured":"Ramachandran, D., & Parvathi, R. (2021). A novel domain and event adaptive tweet augmentation approach for enhancing the classification of crisis related tweets. Data & Knowledge Engineering, 135, 101913.","journal-title":"Data & Knowledge Engineering"},{"key":"1860_CR25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0230442","volume":"15","author":"M Mohammed","year":"2020","unstructured":"Mohammed, M., & Omar, N. (2020). Question classification based on bloom\u2019s taxonomy cognitive domain using modified tf-idf and word2vec. PloS One, 15, e0230442.","journal-title":"PloS One"},{"key":"1860_CR26","doi-asserted-by":"publisher","first-page":"3255","DOI":"10.1007\/s10489-020-01937-4","volume":"51","author":"H Zhou","year":"2021","unstructured":"Zhou, H., Ma, Y., & Li, X. (2021). Feature selection based on term frequency deviation rate for text classification. Applied Intelligence, 51, 3255\u20133274.","journal-title":"Applied Intelligence"},{"key":"1860_CR27","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/s10489-015-0745-z","volume":"45","author":"HK Kim","year":"2016","unstructured":"Kim, H. K., & Kim, M. (2016). Model-induced term-weighting schemes for text classification. Applied Intelligence, 45, 30\u201343.","journal-title":"Applied Intelligence"},{"key":"1860_CR28","doi-asserted-by":"publisher","first-page":"95109","DOI":"10.1109\/ACCESS.2021.3094115","volume":"9","author":"AS Alammary","year":"2021","unstructured":"Alammary, A. S. (2021). Arabic questions classification using modified tf-idf. IEEE Access, 9, 95109\u201395122.","journal-title":"IEEE Access"},{"key":"1860_CR29","unstructured":"Yufang, Z., Shiming, P. Jia, L. (2006) Improvement and application of tfidf method based on text classification. Computer Engineering 32, 76\u201378."},{"key":"1860_CR30","unstructured":"Yong, Y., Daobo, Y., Min, X., Lei, W., Qiang, L., Dan, Q. (2019) Classification of 95598 complaint work orders based on improved tfidf weighted algorithm.\u00a0Power & Energy, 040 205\u2013207"},{"key":"1860_CR31","doi-asserted-by":"crossref","unstructured":"Kuang, Q., Xu, X. (2010) Improvement and application of tf\u2022 idf method based on text classification. In: 2010 International Conference on Internet Technology\u00a0and Applications, IEEE\u00a0pp. 1\u20134.","DOI":"10.1109\/ITAPP.2010.5566113"},{"key":"1860_CR32","unstructured":"Kui, Z. (2018) Improvement of tf-idf weight calculation method in text classification.\u00a0Software Guide, 017 39\u201342."}],"container-title":["Journal of Signal Processing Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-023-01860-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11265-023-01860-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-023-01860-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T08:13:04Z","timestamp":1715760784000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11265-023-01860-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,4]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["1860"],"URL":"https:\/\/doi.org\/10.1007\/s11265-023-01860-0","relation":{},"ISSN":["1939-8018","1939-8115"],"issn-type":[{"type":"print","value":"1939-8018"},{"type":"electronic","value":"1939-8115"}],"subject":[],"published":{"date-parts":[[2024,1,4]]},"assertion":[{"value":"17 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no research involving Human Participants and\/or Animals.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research Involving Human Participants and\/or Animals"}},{"value":"The authors declare that they have known the informed consent.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"The authors declare they have no financial interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Financial Interest"}},{"value":"None.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Non-Financial Interests"}},{"value":"The authors declare no conflict of interest.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}}]}}