Short Text Classification Algorithm Based on Semi-Supervised Learning and SVM
نویسندگان
چکیده
منابع مشابه
Short Text Classification Algorithm Based on Semi-Supervised Learning and SVM
Short text is a popular text form, which is widely used in real-time network news, short commentary, micro-blog and many other fields. With the development of the application such as QQ, mobile phone text messages and movie websites, the size of data is also becoming larger and larger. Most data is useless for us while other data is significant for us. Therefore, it is necessary for us to extra...
متن کاملSemi-supervised Collaborative Text Classification
Most text categorization methods require text content of documents that is often difficult to obtain. We consider “Collaborative Text Categorization”, where each document is represented by the feedback from a large number of users. Our study focuses on the semisupervised case in which one key challenge is that a significant number of users have not rated any labeled document. To address this pr...
متن کاملText Classification Based On Manifold Semi- Supervised Support Vector Machine
This article presents a solution along with experimental results for an application of semi-supervised machine learning techniques and improvement on the SVM (Support Vector Machine) based on geodesic model to build text classification applications for Vietnamese language. The objective here is to improve the semi-supervised machine learning by replacing the kernel function of SVM using geodesi...
متن کاملA Semi - supervised Text Clustering Algorithm Based on Pairwise Constraints ★
In this paper, an active learning method which can effectively select pairwise constraints during clustering procedure was presented. A novel semi-supervised text clustering algorithm was proposed, which employed an effective pairwise constraints selection method. As the samples on the fuzzy boundary are far away from the cluster center in the clustering procedure, they can be easily divided in...
متن کاملA Semi-Supervised Learning Algorithm Based on Modified Self-training SVM
In this paper, we first introduce some facts about semi-supervised learning and its often used methods such as generative mixture models, self-training, co-training and Transductive SVM and so on. Then we present a self-training semi-supervised SVM algorithm based on which we give out a modified algorithm. In order to demonstrate its validity and effectiveness, we carry out some experiments whi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Multimedia and Ubiquitous Engineering
سال: 2015
ISSN: 1975-0080,1975-0080
DOI: 10.14257/ijmue.2015.10.12.20