Assigning relevant keywords to documents is very important for efficient retrieval, clustering and management of the documents. Especially with the web cor-pus deluged with digital documents, automation of this task is of prime importance. Keyword assignment is a broad topic of research which refers to tagging of document with keywords, key-phrases or topics. For text documents, the keyword ass...

The increase in the use of microblogging came along with the rapid growth on short linguistic data. On the other hand deep learning is considered to be the new frontier to extract meaningful information out of large amount of raw data in an automated manner [1]. In this study, we engaged these two emerging fields to come up with a robust language identifier on demand, namely Stanford Language I...

This study is devoted to a method that facilitates the task of extracting structure from text documents using an artificial neural network. The consists data preparation, building and training model results evaluation. Data preparation includes collecting corpora documents, converting variety file formats into plain text, manual labeling each document structure. Then are split tokens paragraphs...