Agata Niezabitowska, Anna Oleszkiewicz and Michał Pieniak
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The review starts by stating that modern communication technologies do, without doubt, influence several domains of human behaviour, including the domain of language. The reviewed title focus on peculiarities with one of these new ways of communication, namely, communication on two prominent social networks. The review gives an overview over structure in the book, and comments on its scope. The core of the books’ research is located in the second part of the monograph, where changes in ortography and some other features, such as use of emoticons, are observed in excerpts from Facebook and Twitter corpora, counting 18 000 tokens both. The review concludes that typology of ortographical differences, proposed by the book, is accurate and reflects the real situation.
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Muhammad Rehan Masoom, Md Nahid Alam and Rubaiyat Bin Arif
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Chuanming Yu, Xingyu Zhu, Bolin Feng, Lin Cai and Lu An
a great variety of reviews uploaded by Japanese travelers. We conduct sentiment analysis of Japanese reviews on Chinese attractions utilizing statistics- and rule-based methods. Three groups of novel methods combining feature selection functions and the traditional term frequency-inverse document frequency (TF-IDF) method are proposed. Additional sentiment words and emoticons are chosen to complement the original emotional dictionary and an extensive comparative study is performed.
Compared with existing studies, the main contributions and the innovation of our
Vasiliki Simaki, Carita Paradis and Andreas Kerren
.). Modality in contemporary English (Topics in English Linguistics 44), 191–222. Berlin: DeGruyter.
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Paterson, Laura L., Laura Coffey-Glover and David Peplow. 2016. Negotiating stance within discourses of class: Reactions to Benefits Street. Discourse & Society 27 (2): 195–214.
Peersman, Claudia, Walter Daelemans and Leona Van Vaerenbergh. 2011. Predicting age