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Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English
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In: Front Artif Intell (2020)
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| 9 |
Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English
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Abstract:
Twitter constitutes a rich resource for investigating language contact phenomena. In this paper, we report findings from the analysis of a large-scale diachronic corpus of over one million tweets, containing loanwords from te reo Maori, the indigenous language spoken in New Zealand, into (primarily, New Zealand) English. Our analysis focuses on hashtags comprising mixed-language resources (which we term hybrid hashtags), bringing together descriptive linguistic tools (investigating length, word class, and semantic domains of the hashtags) and quantitative methods (Random Forests and regression analysis). Our work has implications for language change and the study of loanwords (we argue that hybrid hashtags can be linked to loanword entrenchment), and for the study of language on social media (we challenge proposals of hashtags as “words,” and show that hashtags have a dual discourse role: a micro-function within the immediate linguistic context in which they occur and a macro-function within the tweet as a whole).
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Keyword:
hashtag half-life; hashtags; language contact; loanwords; Maori; New Zealand English; the language of social media; word embeddings
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URL: https://doi.org/10.3389/frai.2020.00015
https://hdl.handle.net/10289/13625
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| 10 |
Māori loanwords: a corpus of New Zealand English tweets
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In: Vocab@Leuven 2019 (2019)
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| 13 |
WASSA-2017 shared task on emotion intensity
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In: WASSA 2017 (2017)
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| 15 |
Acquiring and Exploiting Lexical Knowledge for Twitter Sentiment Analysis
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| 16 |
Determining word–emotion associations from tweets by multi-label classification
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In: WI'16 (2016)
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| 17 |
Building a Twitter opinion lexicon from automatically-annotated tweets
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| 18 |
From opinion lexicons to sentiment classification of tweets and vice versa: a transfer learning approach
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In: WI'16 (2016)
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| 19 |
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis
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In: 22nd European Conference on Artificial Intelligence (ECAI) (2016)
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| 20 |
From unlabelled tweets to Twitter-specific opinion words
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In: SIGIR '15 (2015)
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