Machine Learning and Text Categorization
Text Categorization and Machine Learning Methods: Current State Of The Art
... precision. Text categorization methods that are utilizing machine learning techniques to bring on manuscript classifiers face a problem with very high computational costs that sometimes rise ...
11
Some Investigations on Machine Learning Techniques for Automated Text Categorization
... Machine learning is an area of artificial intelligence. Machine learning deals with the study of methods for making computers learn like ...and machine learning have been ...
5
RESEARCH ISSUES IN TEXT CATEGORIZATION BASED ON MACHINE LEARNING: A REVIEW
... implementing machine learning ...text categorization. Decision trees were being used for various machine learning problems including text categorization for a long ...
11
Intelligent Typo Correction and Text Categorization Using Machine Learning and Ontology Networks
... in text mining field, mainly focusing on accurately and efficiently performing the task of text preprocessing and text categorization, using machine learning techniques and ...
173
Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization
... for text categorization is presented: a hybrid ap- proach combining a machine learning algorithm with a rule-based expert system that brings in the advantages of both approaches and overcomes ...
6
Experiments on the Use of Feature Selection and Machine Learning Methods in Automatic Malay Text Categorization
... automatic text categorization into predefined categories has witnessed a booming ...supervised machine learning methods have been applied to categorize English, relatively, only a few studies ...
7
A Machine Learning Text Categorization Techniques System to Filter Unwanted Words in Social Networks
... to text categorization that fall within the machine learning ...a Machine Learning based soft classifier automatically labeling messages in support of content-based ...
5
Using “Annotator Rationales” to Improve Machine Learning for Text Categorization
... the machine learner why the example belongs to the ...a learning method that exploits the rationales during training to boost performance significantly on a sam- ple task, namely sentiment classification of ...
8
Machine Learning for Real Estate Contracts – Automatic Categorization of Text
... The Multinomial Naive Bayes (MNB) has a number of prominent features for most text categorization model. It is straightforward and can be irrelevantly premeditated for large numbers of classes different ...
6
An improved incremental learning algorithm for text categorization using support vector machine
... INCREMENTAL LEARNING ALGORITHM FOR TEXT CLASSIFICATION A. Text Classification and Multi-class SVM Automatic text classification technology is an important foundation of information retrieval ...
8
Bayesian Text Categorization
... chine learning algorithms of many participating ...combine machine learning algorithms with some degree of knowledge engineering, trying to capture the best of both ...
81
Text Document categorization using support vector machine
... of machine learning techniques first introduced by Vapnik and has been introduced in TC by ...computational learning theory, SVM seeks a decision surface to separate the training data points into two ...
7
Ontology-Based Categorization of Web Services with Machine Learning
... a text classification problem and apply first information extraction (IE) techniques (voting using keywords weight according to their context), then machine learning (ML), and finally a combined ...
7
Mistake Driven Learning in Text Categorization
... On each trial, the learner first makes a prediction and then receives feedback which may be used to update the current hypothesis (the vector of weights). A mistake-d[r] ...
9
Automatic Text Categorization by Unsupervised Learning
... The goal of text categorization is to classify documents into a certain number of pre- defined categories. The previous works in this area have used a large number of labeled training documents for ...
7
Learning Timeline Difference for Text Categorization
... Figure 2 illustrates error rate against the tempo- ral difference between diff-period training and test data. Both training and test data are the documents from 1991 to 2012. For instance, “10” of the x- axis in Figure 2 ...
6
CS590I: Information Retrieval. Text Categorization (I) Text Categorization. Text Categorization. Text Categorization: Examples
... a: number of truly positive docs b: number of false-positive docs c: number of false negative docs d: number of truly-negative docs n: total number of test documents. Text Categorization[r] ...
5
Investigating Unsupervised Learning for Text Categorization Bootstrapping
... The goal of this paper is to investigate additional principled unsupervised mechanisms within the ini- tial classification step, applied to the text catego- rization. In particular, (a) utilizing a Latent Se- ...
8
Machine Learning Techniques for Android Malware Detection and Categorization
... Leveraging machine learning techniques for malware forensics would assist cyber forensic investigators in their fight against malicious ...two machine learning aided approaches for static ...
6
Machine Learning Methods for Chinese Web page Categorization
... Machine Learning Methods for Chinese Web page Categorization Machine Learning M e t h o d s for Chinese W e b Page Categorization J i H e 1, A h H w e e T a n 2 a n d C h e w L i r a T a n 1 1School o[.] ...
8