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Palayon, Raymund T.; Todd, Richard Watson; Vungthong, Sompatu – rEFLections, 2022
The language of religious leaders expressed in their sermons characterizes the social characteristics of their groups. Over the past decades, most studies into cults specifically destructive cults and mainstream religion have mainly focused on their social-psychological characteristics with limited applicability to other religious groups. In this…
Descriptors: Language Usage, Religious Cultural Groups, Religious Factors, Computational Linguistics
Arielle A. Gaither – ProQuest LLC, 2021
Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…
Descriptors: Journal Articles, Classification, Language Usage, Databases
Aluthman, Ebtisam Saleh – Arab World English Journal, 2018
This paper presents a critical account of the representation of immigration in the Brexit corpus-- a collective corpus of 108,452,923 words compiled mostly from blogs, tweets, and daily news related to Brexit debate. The study follows the methodological synergy approach proposed by Baker et al. (2008), a heuristic methodological approach that…
Descriptors: Public Policy, Discourse Analysis, Immigration, Computational Linguistics
Kulkarni, Vivek – ProQuest LLC, 2017
Language on the Internet and social media varies due to time, geography, and social factors. For example, consider an online chat forum where people from different regions across the world interact. In such scenarios, it is important to track and detect regional variation in language. A person from the UK, who is in conversation with someone from…
Descriptors: Language Variation, Computational Linguistics, Internet, Social Media
Hong, Jasmine Yoo Jung; Kim, Narae; Lee, Sangwon; Kim, Jang Hyun – Information Research: An International Electronic Journal, 2018
Introduction: The present study examines how community disaster resilience and social solidarity concerning the Sewol ferry disaster, one of South Korea's most tragic maritime disasters that occurred on April 16, 2014, were portrayed on and manifested by social media during a 1-year span at three time periods. Method: Data was collected from…
Descriptors: Social Media, Semantics, Network Analysis, Language Usage
Suyitno, Imam; Susanto, Gatut; Kamal, Musthofa; Fawzi, Ary – IAFOR Journal of Language Learning, 2017
The study outlined in this article aims to describe and explain the cognitive learning strategies used by foreign students in learning the Indonesian language. The research was designed as a qualitative study. The research participants are foreign students who were learning the Indonesian language in the BIPA program. The data sources of the…
Descriptors: Foreign Countries, Second Language Learning, Indonesian, Learning Strategies