Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...) five main emotions. We use our experimental assessments on the emotion dataset to accomplish the emotion categorization job. The datasets were evaluated and the findings revealed that, when compared to state-of-the-art methodologies, the proposed model can successfully categorize user emotions into several classifications. Finally, we assess the efficacy of our strategy using statistical analysis. This research’s findings help firms to apply best practices in the selection, management, and optimization of policies, services, and product information. (shrink)

Contributed articles on Buddhist doctrines and philosophy; festschrift in honor of Narayan Hemandas Samtani, Buddhist scholar.

This paper explores the representation of Laji’een and Muhajireen in Jordan News Agency. It uses the headlines of a 2.5 million word corpus of Arabic news articles in a time span of 5 years from 2012 to 2016. Chronologically analyzing the headlines shows a change in the representation of and attitudes towards refugees and migrants over the investigated period. The analysis of the headlines shows that 2012 starts with providing the assistance to the refugees then at a later stage of (...) 2012 and in 2013 and 2014, the language is shifted to calling for assistance to the country to contribute to solving the problem. In 2015, the language is changed to be more alerting about the scarce in funding. In 2016, the headlines have changed the focus to Europe due to the migration of the refugees. This motivates the National News Agency of Jordan to highlight the suffering of Europe because of the refugees despite having the capacity and resources to host the migrant refugees. The paper concludes that language in general, and the language of media in particular can change the attitudes of people and governments toward critical issues and phenomena like migration and asylum. (shrink)

Biography of Sukhlalji Sanghavi, philosopher and Jaina thinker.