Tyt. z nagłówka.Bibliogr. s. 33-34.The following article presents a specific issue of semantic analysis of texts in natural language – text indexing and describes one field of its application (web browsing). The main part of this article describes a computer system assigning a set of semantic indexes (similar to keywords) to a particular text. The indexing algorithm employs a semantic dictionary to find specific words in a text that represent a text content. Furthermore, it compares two given sets of semantic indexes to determine similarities between texts (assigning a numerical value). The article describes the semantic dictionary – a tool essential to accomplish this task and its usefulness, the main concepts of the algorithm, and the tes...
Automatic text classification is the task of organizing documents into pre-determined classes, gener...
Latent semantic analysis has been used for several years to improve the performance of document libr...
The Vector Space Model (VSM) of text representation suffers a number of limitations for text classif...
This article presents a specific issue of the semantic analysis of texts in natural language – text ...
The following article presents a specific issue of semantic analysis of texts in natural language – ...
This paper describes a new approach for dealing with the vocabulary problem in human-computer intera...
The administration of electronic publication in the Information Era congregates old and new problems...
The administration of electronic publication in the Information Era congregates old and new problems...
In linguistics, semantic analysis is a part of the Artificial Intelligence and it is a major intere...
This paper deals with the determination of the semantic similarity of texts focusing on categorizati...
International audienceThis position paper discusses various issues concerning the semantic web. We c...
In this article we propose Supervised Semantic Indexing (SSI) an algorithm that is trained on (query...
Users in search of on-line document sources are usually looking for content, not words. Hence, IR re...
Introduction. In the information-search engine, semantic analysis and synthesis occupy a leading pla...
Abstract Index terms are an important component in considering a scientific topic. In a real sense, ...
Automatic text classification is the task of organizing documents into pre-determined classes, gener...
Latent semantic analysis has been used for several years to improve the performance of document libr...
The Vector Space Model (VSM) of text representation suffers a number of limitations for text classif...
This article presents a specific issue of the semantic analysis of texts in natural language – text ...
The following article presents a specific issue of semantic analysis of texts in natural language – ...
This paper describes a new approach for dealing with the vocabulary problem in human-computer intera...
The administration of electronic publication in the Information Era congregates old and new problems...
The administration of electronic publication in the Information Era congregates old and new problems...
In linguistics, semantic analysis is a part of the Artificial Intelligence and it is a major intere...
This paper deals with the determination of the semantic similarity of texts focusing on categorizati...
International audienceThis position paper discusses various issues concerning the semantic web. We c...
In this article we propose Supervised Semantic Indexing (SSI) an algorithm that is trained on (query...
Users in search of on-line document sources are usually looking for content, not words. Hence, IR re...
Introduction. In the information-search engine, semantic analysis and synthesis occupy a leading pla...
Abstract Index terms are an important component in considering a scientific topic. In a real sense, ...
Automatic text classification is the task of organizing documents into pre-determined classes, gener...
Latent semantic analysis has been used for several years to improve the performance of document libr...
The Vector Space Model (VSM) of text representation suffers a number of limitations for text classif...