Publication | Closed Access
A survey on text classification and its applications
30
Citations
77
References
2020
Year
EngineeringBusiness IntelligenceCorpus LinguisticsText MiningNatural Language ProcessingClassification MethodInformation RetrievalData ScienceData MiningDocument ClassificationText ClassificationLanguage StudiesContent AnalysisAutomatic ClassificationKnowledge DiscoveryText Classification TechnologiesIntelligent ClassificationData ClassificationClassificationLinguistics
Text classification (a.k.a text categorisation) is an effective and efficient technology for information organisation and management. With the explosion of information resources on the Web and corporate intranets continues to increase, it has being become more and more important and has attracted wide attention from many different research fields. In the literature, many feature selection methods and classification algorithms have been proposed. It also has important applications in the real world. However, the dramatic increase in the availability of massive text data from various sources is creating a number of issues and challenges for text classification such as scalability issues. The purpose of this report is to give an overview of existing text classification technologies for building more reliable text classification applications, to propose a research direction for addressing the challenging problems in text mining.
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