Candidate Feature Extraction and Categorization for Unstructured Text Document
نویسندگان
چکیده
منابع مشابه
Domain and Language Independent Feature Extraction for Statistical Text Categorization
A generic system for text categorization is presented which uses a representative text corpus to adapt the processing steps: feature extraction, dimension reduction, and classification. Feature extraction automatically learns features from the corpus by reducing actual word forms using statistical information of the corpus and general linguistic knowledge. The dimension of feature vector is the...
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The main purpose of communication is to transfer information from one corner to another of the world. The information is basically stored in forms of documents or files created on the basis of requirements. So, the randomness of creation and storage makes them unstructured in nature. As a consequence, data retrieval and modification become hard nut to crack. The data, that is required frequentl...
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Many studies in automated Text Categorization focus on the performance of classifiers, with or without considering feature selection methods, but almost as a rule taking into account just one document representation. Only relatively recently did detailed studies on the impact of various document representations step into the spotlight, showing that there may be statistically significant differe...
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One of the problems faced by document categorization is that terms present in the collection of example documents are numerous. From the point of view of coherence between the models used in document categorization, we analyses the frameworks of both k-NN and NB categorization models and feature selection problem. Two algorithms CBA and IBA to feature selection are proposed. The empirical resul...
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The effect of selecting varying numbers and kinds of features for use in predicting category membership was investigated on the Reuters and MUC-3 text categorization data sets. Good categorization performance was achieved using a statistical classifier and a proportional assignment strategy. The optimal feature set size for word-based indexing was found to be surprisingly low (10 to 15 features...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2020
ISSN: 2456-3307
DOI: 10.32628/cseit20639