Evaluating Text Categorization I - Association for Computational
measures in the context of a text categorization experiment. The bulk of the ..... if a categorization is to be evaluated by text retrieval performance, the query.
Performance Measures in Classification of - Semantic Scholar
problem of performance measures for new types of text classification. The amount of web-posted texts necessarily invited applications of Data Mining (DM) and.
A systematic analysis of performance measures for classification tasks
May 8, 2009 ... Machine Learning. Text classification. a b s t r a c t. This paper presents a systematic analysis of twenty four performance measures used in the.
Text Categorization with Support Vector Machines: Learning with
conventional text classification methods SVMs will prove to be very robust, .... Breakeven Point see e. g. 3 is used as a measure of performance and mi-.
An Evaluation of Statistical Approaches to Text Categorization
Keywords: Text Categorization, Statistical Learning Algorithms, Comparative ... plying a variety of performance measures to several classi ers, including the ...
Performance Measurement Framework for Hierarchical Text
Performance Measurement Framework for Hierarchical Text. Classification *. Aixin Sun, Ee-Peng Lim, Wee-Keong Ng. Centre for Advanced Information Systems ...
A Re-examination of Text Categorization Methods - University of
measures for category assignments), and suggests a way toже ointly use these tests for cross-method com- parison. Observes the performance of each classifier ...
An Extensive Empirical Study of Feature Selection Metrics for Text
Machine learning for text classification is the cornerstone of document ... pair BNS + F1-measure yielded the best performance on the greatest number of tasks ...
Support Vector Machines for Text Categorization - CiteSeerX
categorization recognize that the sorting of text documents into categories of like .... Classification performance is measured using both recall and precision.
Noisy Text Categorization - School of Computing Science
The noisy texts are obtained through handwriting recognition and simulation of optical character .... while the categorization performance measures have a.
The Use of Bigrams to Enhance Text Categorization - CiteSeerX
Text categorization (also known as text classification) is, quite simply, the .... The standard performance measures for text categorization are recall and precision ...
The Use of Bigrams to Enhance Text Categorization.pdf
A Comparative Study on Feature Selection in Text Categorization
A Comparative Study on Feature Selection in Text Categorization. Yiming Yang ..... document categorization performance, i.e., measuring the goodness of ...
A Study on Automatically Extracted Keywords in Text Categorization
F-measure on a standard text categoriza- tion collection ... positive impact on the performance of the auto- ... extract the keywords for the text categorization ex-.
Noisy Text Categorization - Idiap Publications
This work presents a system for the categorization of noisy texts. .... results and Section 3.3 presents the text extraction performance measure we propose.
An Empirical Comparison of Text Categorization Methods
performance of a number of text categorization methods in two different data sets. ... measure of overall performance, a commonly used evaluation measure.
Automatic Text Classification - NaCTeM
manual classification and automatic classification. ©2008 Yutaka ... high predictive performance. Cons: .... precision, F-measure is widely used to evaluate text ...
Categorical Proportional Difference: A Feature Selection Method for
measure of the degree to which a word contributes .... performance of the feature selection methods studied, ..... measures of text categorization performance.
Support Vector Machine Parameter Optimization for Text
Vector Machine (SVM) on text categorization performance. The research is carried .... We used F-measure to evaluate the classification performance. Let p be a ...
Apples-to-Apples in Cross-Validation Studies: Pitfalls in Classifier
[email protected] ABSTRACT. Cross-validation is a mainstay for measuring performance ... measure under class imbalance, e.g., for text classification domains.
An Improved Ambiguity Measure Feature Selection for Text
Abstract—The high dimensionality of the text categorization raises big hurdles in ... performance of the Ambiguity Measure feature selection. We compare the ...
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