«text classification»
۱۸٬۱۵۰ نتیجهA Study of multilabel text classification and the effect of label hierarchy
Text classification has traditionally been one of the most popular problems in information retreival, natural language processing and machine learning. In the simplest case, the task of text classification [1] is as follows: A set of training documents T = {X1, X2, ...Xm} , each
The Comparison of the Text Classification Methods to Be Used for the Analysis of Motion Data in Dlp Architect
Text classification is used for the purpose of preventing the leakage of the data which is highly important within the institution through unallowed ways. The results obtained from the text classification process should be integrated into the DLP architecture immediately. The dat
Improving Multi-class Text Classification with Naive Bayes
There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of org
An Efficient Mining Model For Enhancing Text Classification Using k-NN
Text classification is a supervised technique that uses labeled training data to learn the classification system and then automatically classifies the remaining text using the learned system. Classification plays a vital role in many information management and retrieval tasks. Cl
Text Classification using Artificial Intelligence
Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrie
Arabic Text Classification Algorithm using TFIDF and Chi Square Measurements
Text categorization is the process of classifying documents into a predefined set of categories based on its contents of keywords. Text classification is an extended type of text categorization where the text is further categorized into sub-categories. Many algorithms have been p
Biomedical Text Classification with Improved Feature Weighting Method
In bioinformatics, we are interested in new techniques and advances in classification of biomedical documents for the hope of extracting useful biomedical knowledge out of the classification task. In this paper we introduce a feature weighting method for improving biomedical text
A new method for multi-oriented graphics-scene-3D text classification in video
Text detection and recognition in video is challenging due to the presence of different types of texts, namely, graphics (video caption), scene (natural text), 2D, 3D, static and dynamic texts. Developing a universal method that works well for all these types is hard. In this pap
Issues and Empirical Results for Improving Text Classification
Automatic text classification has a long history and many studies have been conducted in this field. In particular, many machine learning algorithms and information retrieval techniques have been applied to text classification tasks. Even though much technical progress has been m
A Novel Single-Label Supervised Text Classification Approach based on Mining Association Rules
In this paper, we introduce a novel single-label supervised text classification approach based on mining association rules, called Apriori-TFP-TC. We follow the common framework of text mining in general, separating text classification into two stages, (1) text preprocessing and