Add to ORKGAbstract:- This work focuses on selecting features in the automatic text categorization of Chinese industrial and financial news. We use feature selecting method for the characteristics of subclass Chinese financial and industrial news. However, it is an open challenge for subclass news in solving real-world problems which are often high-dimensional. Therefore, we proposed a feature selecting model in automatic text categorization of Chinese financial industrial news. This model can not only discover features from training news, but also can tune features through testing news. The proposed model help to classify subclass news, and it will be useful to knowledge management. Furthermore, feature selection has received considerable attention i...
With the development of Internet starting diverse learning chances, but that also caused gradually a...
Text categorization is an important and critical task in the current era of high volume data storage...
Abstract. In the paper, we considered the problem to model the text document for knowledge discovery...
Determining the event type is one of the main tasks of event extraction (EE). The announcement news ...
Text categorization task always suffers from a high dimension problem, which leads the learning syst...
Abstract. A major characteristic of text document classification problem is extremely high dimension...
With prevalence of Internet, users can easily retrieve the information what they want from Internet....
Text categorization is defined as the task of assigning pre-defined category labels to new documents...
Stock news plays an important role on market considering the timely dissemination of news will likel...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
The thesis concerns the detection of composite features in news articles as well as their significan...
In text mining, the feature selection plays an important role to reduce the high dimensionality of f...
Nowadays, the international situation is severe and complex, and the structural issues within the Ch...
We explore the problem of automatic text clas-sification using Japanese documents. Unlike other lang...
Owing to the rapid growth of the World Wide Web, the number of documents that can be accessed via th...
With the development of Internet starting diverse learning chances, but that also caused gradually a...
Text categorization is an important and critical task in the current era of high volume data storage...
Abstract. In the paper, we considered the problem to model the text document for knowledge discovery...
Determining the event type is one of the main tasks of event extraction (EE). The announcement news ...
Text categorization task always suffers from a high dimension problem, which leads the learning syst...
Abstract. A major characteristic of text document classification problem is extremely high dimension...
With prevalence of Internet, users can easily retrieve the information what they want from Internet....
Text categorization is defined as the task of assigning pre-defined category labels to new documents...
Stock news plays an important role on market considering the timely dissemination of news will likel...
Nowadays, China is faced with increasing downward pressure on its economy, along with an expanding b...
The thesis concerns the detection of composite features in news articles as well as their significan...
In text mining, the feature selection plays an important role to reduce the high dimensionality of f...
Nowadays, the international situation is severe and complex, and the structural issues within the Ch...
We explore the problem of automatic text clas-sification using Japanese documents. Unlike other lang...
Owing to the rapid growth of the World Wide Web, the number of documents that can be accessed via th...
With the development of Internet starting diverse learning chances, but that also caused gradually a...
Text categorization is an important and critical task in the current era of high volume data storage...
Abstract. In the paper, we considered the problem to model the text document for knowledge discovery...