Text analysis includes lexical analysis of the text and has been widely studied and used in diverse applications. In the last decade, researchers have proposed many efficient solutions to analyze / classify large text dataset, however, analysis / classification of short text is still a challenge because 1) the data is very sparse 2) It contains noise words and 3) It is difficult to understand t...

“Short-text clustering” is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In some recent works, new clustering algorithms have been proposed to deal with this difficult problem and novel bio-inspired methods have reported the best results in this area. In this work, a general bio-inspired method based on...

Introduction This short note speculates on the use of world knowledge to help interpret a short paragraph of biomedical text about transcytosis (transport across a cell). The ultimate goal is to create a simple representation of the transcytosis process from the text (either automatically or semi-automatically). The challenges are formidable, as the process involves several steps that are often...

Short Text Compression is a great concern for data engineering and management. The rapid use of small devices especially, mobile phones and wireless sensors have turned short text compression into a demand-of-thetime. In this paper, we propose an approach of compressing short English text for smart devices. The prime objective of this proposed technique is to establish a low-complexity lossless...

abstractnarratology and especially time issue in narration is one of new knowledge of literary criticism and narration in the recent decades. time is the main element of story and text in the linear alternation of events in the story. the french man gérard genette is one of most successful theorizing of time narration who has presented his theory in three forms, “order, continuity and frequency...

For the last few years, text mining has been gaining significant importance. Since Knowledge is now available to users through variety of sources i.e. electronic media, digital media, print media, and many more. Due to huge availability of text in numerous forms, a lot of unstructured data has been recorded by research experts and have found numerous ways in literature to convert this scattered...

BACKGROUND More than 34 million people are presently living with HIV infection. Antiretroviral therapy (ART) can help these people to live longer, healthier lives, but adherence to ART can be difficult. Mobile phone text-messaging has the potential to help promote adherence in these patients. OBJECTIVES To determine whether mobile phone text-messaging is efficacious in enhancing adherence to ...

stylistics is one of the main trends that try to look for beauties in the text. it interested in studying literary texts based on an objective approach for analyzing texts to find the beauties. we can get through that by analyzing the language and rhetorical phenomena in the text in terms of the three levels, vocal, synthetic, and indicative. style is one rhetorical face in the book nahjo al-ba...

Natural language conversation is widely regarded as a highly difficult problem, which is usually attacked with either rule-based or learning-based models. In this paper we propose a retrieval-based automatic response model for short-text conversation, to exploit the vast amount of short conversation instances available on social media. For this purpose we introduce a dataset of short-text conve...