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Improving automated Turkish text classification with learning‐based algorithms
Concurrency and Computation: Practice and Experience, 2022AbstractText classification is the process of determining categories or tags of a document depending on its content. Although text classification is a well‐known process, it has many steps that require tuning to improve mathematical models. This article provides a novel methodology and expresses key points to improve text classification performance ...
Ömer Köksal, Eyüp Halit Yılmaz
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Automated Q-matrix Identification Using Text Classification Techniques
Proceedings of the 2019 11th International Conference on Education Technology and Computers, 2019Cognitive diagnosis can be very useful to teachers and students, yet its application is limited so far because the current method to identify the Q-matrix is labor intensive and time-consuming. In this study, we propose to use text classification techniques to automatically identify Q-matrix. Specifically, we developed a three-stage model. In the first
Shuai Zhao, Xiaoting Huang
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Automated Text Binary Classification Using Machine Learning Approach
2010 XXIX International Conference of the Chilean Computer Science Society, 2010The increased number of documents in digital format available on the Web and its useful information for different purposes entail an essential need to organize them. However, this task must be automated in order to save costs and manpower. In the community research, the main approach to face this problem is based on the application of machine learning ...
Alberto Holts +2 more
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Improving Classification Accuracy of Automated Text Classifiers
2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2018The number of textual documents is increasing at an incredible rate and very often, there is a need to classify these documents into some fixed predefined categories automatically. Since the classification is being done automatically, the classifier needs to be a good classifier so that there are as less misclassifications as possible.
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Automated text classification using a multi-agent framework
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries, 2005Automatic text classification is an important operational problem in digital library practice. Most text classification efforts so far concentrated on developing centralized solutions. However, centralized classification approaches often are limited due to constraints on knowledge and computing resources.
Yueyu Fu, Weimao Ke, Javed Mostafa
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Using $\text{CRF}+\text{LG}$ for automated classification of named entities in newspaper texts
2020 XLVI Latin American Computing Conference (CLEI), 2020Information production has been growing at an accelerated rate. There is a large amount of information to be processed, which makes tasks related to the collection and explotation of text challenging, requiring effort from the most diverse areas, especially computational linguistics.
Jaimel de Oliveira Lima +4 more
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Multiple Feature-Classifier Combination in Automated Text Classification
2012 10th IAPR International Workshop on Document Analysis Systems, 2012Automatic text classification (ATC) is important in applications such as indexing and organizing electronic documents in databases leading to enhancement of information access and retrieval. We propose a method which employs various types of feature sets and learning algorithms to improve classification effectiveness. Unlike the conventional methods of
Lazaro S.P. Busagala +3 more
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Automating classification of free‐text electronic health records for epidemiological studies
Pharmacoepidemiology and Drug Safety, 2012ABSTRACTPurposeIncreasingly, patient information is stored in electronic medical records, which could be reused for research. Often these records comprise unstructured narrative data, which are cumbersome to analyze. The authors investigated whether text mining can make these data suitable for epidemiological studies and compared a concept recognition ...
Schuemie M.J. +5 more
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Automated Text Classification of News Articles: A Practical Guide
Political Analysis, 2020Automated text analysis methods have made possible the classification of large corpora of text by measures such as topic and tone. Here, we provide a guide to help researchers navigate the consequential decisions they need to make before any measure can be produced from the text.
Pablo Barberá +4 more
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Automated Labeling of Helicopter Maintenance Records with Text Classification
Proceedings of the Vertical Flight Society 74th Annual Forum, 2018Separating plaintext documents into defined classes, known in the data science literature as text classification, is a time-consuming task that is essential to the processing of correspondence, safety records, and maintenance documents in the aviation industry.
John Labarga, Sam Friedman
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