Text summarization solves the problem of presenting the information needed by a user in a compact form. There are different approaches to create well formed summaries in literature. One of the newest methods in text summarization is the Latent Semantic Analysis (LSA) method. In this thesis, different LSA based summarization algorithms are explained and two new LSA based summarization algorithms are proposed. The algorithms are evaluated on Turkish and English documents, and their performances are compared using their ROUGE scores.M.S. - Master of Scienc
Automatic summarization has become an important part in the study of natural language processing sin...
Text summarization has been a long studied topic in the field of natural language processing. There ...
V magistrski nalogi smo uporabili metodo latentne semantične analize (LSA) za avtomatsko povzemanja ...
Text summarization solves the problem of presenting the information needed by a user in a compact fo...
Text summarization solves the problem of presenting the information needed by a user in a compact fo...
Text summarization solves the problem of extracting important information from huge amount of text d...
Abstract: This paper deals with using latent semantic analysis in text summarization. We describe a ...
The process of getting information from text documents correctly can be done by reading the entire t...
In this study we propose an automatic single document text summarization technique using Latent Sema...
[[abstract]]The proposal aims to develop an evaluation system for summarization. LSA (Latent Semanti...
[[abstract]]The proposal aims to develop an evaluation system for summarization. LSA (Latent Semanti...
Due to an exponential growth in the generationof textual data, tools and mechanisms for automaticsum...
Akyokuş, Selim (Dogus Author) -- Conference full title: International Symposium on Innovations in In...
Automated text summarization is the process of extracting the essence of a document without compromi...
The purpose of this study was to compare two automatic assessment methods using Latent Semantic Anal...
Automatic summarization has become an important part in the study of natural language processing sin...
Text summarization has been a long studied topic in the field of natural language processing. There ...
V magistrski nalogi smo uporabili metodo latentne semantične analize (LSA) za avtomatsko povzemanja ...
Text summarization solves the problem of presenting the information needed by a user in a compact fo...
Text summarization solves the problem of presenting the information needed by a user in a compact fo...
Text summarization solves the problem of extracting important information from huge amount of text d...
Abstract: This paper deals with using latent semantic analysis in text summarization. We describe a ...
The process of getting information from text documents correctly can be done by reading the entire t...
In this study we propose an automatic single document text summarization technique using Latent Sema...
[[abstract]]The proposal aims to develop an evaluation system for summarization. LSA (Latent Semanti...
[[abstract]]The proposal aims to develop an evaluation system for summarization. LSA (Latent Semanti...
Due to an exponential growth in the generationof textual data, tools and mechanisms for automaticsum...
Akyokuş, Selim (Dogus Author) -- Conference full title: International Symposium on Innovations in In...
Automated text summarization is the process of extracting the essence of a document without compromi...
The purpose of this study was to compare two automatic assessment methods using Latent Semantic Anal...
Automatic summarization has become an important part in the study of natural language processing sin...
Text summarization has been a long studied topic in the field of natural language processing. There ...
V magistrski nalogi smo uporabili metodo latentne semantične analize (LSA) za avtomatsko povzemanja ...