Text Summarization is the process of creating a summary of a certain document that
contains the most important information of the original one, the purpose of it is to get a …

The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Cosine similarity is one of the most popular distance measures in text classification
problems. In this paper, we used this important measure to investigate the performance of …

Due to the massive and growing volume of music on the internet, and the lack of proper
management on this massive volume, similarity and music recommendation systems have …

The exponential growth of online textual data triggered the crucial need for an effective and
powerful tool that automatically provides the desired content in a summarized form while …

This survey investigates several research studies that have been conducted in the field of
Arabic text summarization. Specifically, it addresses summarization and evaluation methods …

Fisher's discriminant analysis; also called linear discriminant analysis (LDA), is a popular
dimensionality reduction technique that is widely used for features extraction. LDA aims at …

Detecting Adverse Drug Reactions (ADRs) is one of the important information for
determining the view of the patient on one drug. Most studies have investigated the …

Text summarization has been a field of intensive research over the last 50 years, especially
for commonly-used and relatively simple-grammar languages such as English. Moreover …