A growing number of people are changing the way they consume news, replacing the traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity and immediacy present in online news are changing the way news are being produced and exposed by media corporations. News websites have to create effective strategies to catch people’s attention and attr...

This paper deals with a discourse structure analysis of technical Japanese texts for developing a Japanese writing Computer Assisted Language Learning (CALL) system whose goal is to assist students in learning to write technical Japanese texts. To analyze discourse structures of technical Japanese texts, cohesive expressions are used as cue words. The rules for analyzing texts are based on micr...

Stock market price prediction models have remained a prominent challenge for the investors owing to their volatile nature. The impact of macroeconomic events such as news headlines is studied here using standard dataset with closing stock rates chosen period by performing sentiment analysis Random Forest classifier. A BiLSTM time-series forecasting model constructed predict prices polarity head...

We present a software tool that employs state-ofthe-art natural language processing (NLP) and machine learning techniques to help newspaper editors compose effective headlines for online publication. The system identifies the most salient keywords in a news article and ranks them based on both their overall popularity and their direct relevance to the article. The system also uses a supervised ...

BACKGROUND Evidence-based patient information (EBPI) is a prerequisite for informed decision-making. However, presentation of EBPI may lead to irrational reactions causing avoidance, minimisation and devaluation of the information. OBJECTIVE To explore whether the theory of cognitive dissonance is applicable to medical decision-making and useful to explain these phenomena. SETTING AND PARTI...