«text classification»
۱۸٬۱۵۰ نتیجهImproving K-Nearest Neighbor Efficacy for Farsi Text Classification
One of the common processes in the field of text mining is text classification.Because of the complex nature of Farsi language, words with separate parts and combined verbs, the most of text classification systems are not applicable to Farsi texts.K-Nearest Neighbors (KNN) is one
Compherensive Review Of Text Classification Using Machine Learning
Text Classification, also known as text categorization, is the task of automatically allocating unlabeled documents into predefined categories. Text Classification means allocating a document to one or more categories or classes. The ability to accurately perform a classification
Semi-Supervised Text Classification Using EM
For several decades, statisticians have advocated using a combination of labeled and unlabeled data to train classifiers by estimating parameters of a generative model through iterative Expectation-Maximization (EM) techniques. This chapter explores the effectiveness of this appr
Binning: Converting Numerical Classification into Text Classification
Consider a supervised learning problem in which examples contain both numericaland text-valued features. One common approach to this problem would be to treat the presence or absence of a word as a Boolean feature, which when combined with the other numerical features enables the
Feature based Text Classification using Application Term Set
In the present world of information, text classification is a more challenging process due to the larger number of training cases and feature set present in text data. One of the most difficult tasks in the text classification problem is high dimensionality of the feature space.
Multi Label Text Classification through Label Propagation
Classifying text data has been an active area of research for a long time. Text document is multifaceted object and often inherently ambiguous by nature. Multi-label learning deals with such ambiguous object. Classification of such ambiguous text objects often makes task of class
A new term-weighting scheme for text classification using the odds of positive and negative class probabilities
Text classification is a core technique for text mining and information retrieval. It has been applied to many applications in many different research and industrial areas. Term weighting schemes have to assign an appropriate weight to each term to obtain a high text classificati
Automated Text Classification in the DMOZ Hierarchy
The growth in the availability of on-line digital text documents has prompted considerable interest in Information Retrieval and Text Classification. Automation of the management of this wealth of textual data is becoming an increasingly important endeavor as the rate of new mate
Text Classification using Data Mining
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
Text Classification Aided by Clustering: a Literature Review
Supervised and unsupervised learning have been the focus of critical research in the areas of machine learning and artificial intelligence. In the literature, these two streams flow independently of each other, despite their close conceptual and practical connections. In this wor