Add to ORKGInternational audienceThis paper presents a text-mining approach in order to extract candidate terms from a corpus. The relevant candidates are selected using a web-mining approach. The terms (i.e. relevant candidate terms) we find are the instances of specialized ontologies built during this process. The experiments are based on real data – Human Resources corpus – and they show the quality of our text and web mining approaches
Abstract— Presently in Customer Relationship Management, there is a need to achieve greater customer...
Text and content mining are the subcategory of data mining. This category of data mining is used to ...
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to lo...
International audienceThis paper presents a text-mining approach in order to extract candidate terms...
Studies on ontologies are receiving a growing attention due to their well-known nature of explicit k...
Text mining has been defined as “the discovery by computer of new, previously unknown information, b...
Web mining is a newly emerging r esearch area concerned with analyzing the World Wide Web. It is co...
This paper presents a survey of basic concepts in the area of text data mining and some of the metho...
Though the utility of domain Ontologies is now widely acknowledged in the IT (Information Technol...
Nowadays, society finds itself in the so called “Information Age”, in which the combination of expon...
Abstract: In this paper we describe some approaches to text mining, which are supported by an origin...
Abstract—It is not easy to obtain the right information from the Web for a particular Web user or a ...
Background: The engineering of ontologies, especially with a view to a text-mining use, is still a ...
The paper describes an experience on using Text mining methods for enhancing a customer application ...
Text mining tools and technologies have long been a part of the repository world, where they have be...
Abstract— Presently in Customer Relationship Management, there is a need to achieve greater customer...
Text and content mining are the subcategory of data mining. This category of data mining is used to ...
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to lo...
International audienceThis paper presents a text-mining approach in order to extract candidate terms...
Studies on ontologies are receiving a growing attention due to their well-known nature of explicit k...
Text mining has been defined as “the discovery by computer of new, previously unknown information, b...
Web mining is a newly emerging r esearch area concerned with analyzing the World Wide Web. It is co...
This paper presents a survey of basic concepts in the area of text data mining and some of the metho...
Though the utility of domain Ontologies is now widely acknowledged in the IT (Information Technol...
Nowadays, society finds itself in the so called “Information Age”, in which the combination of expon...
Abstract: In this paper we describe some approaches to text mining, which are supported by an origin...
Abstract—It is not easy to obtain the right information from the Web for a particular Web user or a ...
Background: The engineering of ontologies, especially with a view to a text-mining use, is still a ...
The paper describes an experience on using Text mining methods for enhancing a customer application ...
Text mining tools and technologies have long been a part of the repository world, where they have be...
Abstract— Presently in Customer Relationship Management, there is a need to achieve greater customer...
Text and content mining are the subcategory of data mining. This category of data mining is used to ...
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to lo...