{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:09:44Z","timestamp":1773097784304,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":6,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789811692284","type":"print"},{"value":"9789811692291","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Text classification is a basic task in the field of natural language processing, and it is a basic technology for information retrieval, questioning and answering system, emotion analysis and other advanced tasks. It is one of the earliest application of machine learning algorithm, and has achieved good results. In this paper, we made a review of the traditional and state-of-the-art machine learning algorithms for text classification, such as Naive Bayes, Supporting Vector Machine, Decision Tree, K Nearest Neighbor, Random Forest and neural networks. Then, we discussed the advantages and disadvantages of all kinds of machine learning algorithms in depth. Finally, we made a summary that neural networks and deep learning will become the main research topic in the future.<\/jats:p>","DOI":"10.1007\/978-981-16-9229-1_14","type":"book-chapter","created":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T12:03:56Z","timestamp":1642766636000},"page":"226-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Review of Machine Learning Algorithms for Text Classification"],"prefix":"10.1007","author":[{"given":"Ruiguang","family":"Li","sequence":"first","affiliation":[]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Dawei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Jiaqi","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Fudong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Liehuang","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,21]]},"reference":[{"key":"14_CR1","unstructured":"Liu, Y.: The application of naive bayes in text classification preprocessing. Comput. Inf. Technol. (2010)"},{"key":"14_CR2","unstructured":"Zhang, X.: The summary of text classification based on support vector machines. Sci. Technol. Inf. (2008)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Zhao, D.: Research on the vector space model based text automatic classification system. Int. J. Digit. Content Technol. Appl. 7(3), 381\u2013388 (2013)","DOI":"10.4156\/jdcta.vol7.issue3.48"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Li, Y., Xia, S.: An improved KNN text classification algorithm based on clustering. J. Comput. 4(3) (2009)","DOI":"10.4304\/jcp.4.3.230-237"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Chen, S., Wang, Y., et al.: Review of research on lightweight convolutional neural networks. In: 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE (2020)","DOI":"10.1109\/ITOEC49072.2020.9141847"},{"key":"14_CR6","unstructured":"Niu, S., Chai, X., Deqi, L.I., et al.: A text classification algorithm based on neural network and LDA. Comput. Eng. (2019)"}],"container-title":["Communications in Computer and Information Science","Cyber Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-9229-1_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T14:22:28Z","timestamp":1650550948000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-9229-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811692284","9789811692291"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-9229-1_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CNCERT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China Cyber Security Annual Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cncert2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/conf.cert.org.cn","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}