Add to ORKGIn this paper, we present a novel method for automatically building hierarchical topic structures of large text databases without any complicated linguistic analysis. Hierarchical relationship among categories from textual data can be discovered on the basis of term co-occurrence, which is described by fuzzy relations. Despite its simplicity, results of experiments on well-known document collections such as Yahoo directory data demonstrate the high quality of the resulting hierarchies
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from ...
While automated methods for information organization have been around for several decades now, expon...
We built a system for the automatic creation of a text-based topic hierarchy, meant to be used in a ...
This paper proposes a novel approach to automatically dis-covering the hierarchical topic structure ...
This paper presents a means of automatically deriving a hierarchical organization of concepts from a...
This thesis proposes a novel model for automatically generate topic map for a document corpus with n...
It is crucial in many information systems to organize short text segments, such as keywords in docum...
Developing intuition for the content of a digital collection is difficult. Hierarchies of subject te...
Topic hierarchies can help researchers to develop a quick and concise understanding of the main them...
summary:Text categorization is the classification to assign a text document to an appropriate catego...
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from a...
We present an approach for the automatic induction of concept hierarchies from text collections
This paper reports on the extension of an automatic text analysis system (TOPIC) to a hypertext-syst...
This paper proposes a framework to automatically construct taxonomies from a corpus of text document...
Hierarchies have long been used for organization, summarization, and access to information. In this ...
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from ...
While automated methods for information organization have been around for several decades now, expon...
We built a system for the automatic creation of a text-based topic hierarchy, meant to be used in a ...
This paper proposes a novel approach to automatically dis-covering the hierarchical topic structure ...
This paper presents a means of automatically deriving a hierarchical organization of concepts from a...
This thesis proposes a novel model for automatically generate topic map for a document corpus with n...
It is crucial in many information systems to organize short text segments, such as keywords in docum...
Developing intuition for the content of a digital collection is difficult. Hierarchies of subject te...
Topic hierarchies can help researchers to develop a quick and concise understanding of the main them...
summary:Text categorization is the classification to assign a text document to an appropriate catego...
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from a...
We present an approach for the automatic induction of concept hierarchies from text collections
This paper reports on the extension of an automatic text analysis system (TOPIC) to a hypertext-syst...
This paper proposes a framework to automatically construct taxonomies from a corpus of text document...
Hierarchies have long been used for organization, summarization, and access to information. In this ...
We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from ...
While automated methods for information organization have been around for several decades now, expon...
We built a system for the automatic creation of a text-based topic hierarchy, meant to be used in a ...