Year: 2017
Type: article
Abstract: Now a day bulk of information available on Internet but in spite of will, no one can go through all these information, which may carry huge amount of data. Hence, most of the web surfer required a mechanism through which particular documents or sentences of their interests can be extracted easily without wasting much amount of time. For this purpose, we can generate some keywords out of the stored information, so that keywords requested by the end user should match easily with stored keywords to detect sentences. In this context, Latent Semantic Indexing (LSI) based search method has been applied to whole text and keys. It has been observed through the results that the method with keys (Keywords and key-Sentences) found considerably proficient. Moreover, extracted Keys are not only suited for searching but also appropriate for clustering. Finally, the proposed study not only investigated the detection of keywords but also involved exposure of key sentences
Institutions: King Abdulaziz University, Gomal University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2800544591