Abstract
Texts live around us just as we live around them. At any instant, there are texts that people write, share, use to get informed, etc. (starting with an advertisement heard on the radio every morning and finishing with the contract of sale signed before a notary). Combining this with the concept of economy in language (or the principle of least effort) – a tendency shared by all humans – consisting in minimizing the amount of effort necessary to achieve the maximum result, it is no wonder why the social media, with its short, informal and context dependent texts, achieved such a high popularity.
Even texts are so constantly present in our lives (or precisely because of that), linguistic classification of texts is still debated, and no clear visualization of texts types is yet available. Going beyond the classification of texts in species and genres, this paper proposes an ontology which discusses the various text types, focusing on social media texts, and offering a set of properties to describe them.
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Notes
- 1.
For best results, the processing tool needs to have been trained on the same type of texts as the text to be processed.
- 2.
Longer social media content can also be found, usually introduced as a link.
- 3.
The poem can be found on: https://www.facebook.com/mariustuca.ro?fref=nf.
- 4.
This advertisement can be found on: https://www.facebook.com/DaciaRomania/photos/a.501429966539492.132624.204829606199531/1082250568457426/.
- 5.
The post is available on: https://twitter.com/adevarul/status/653595042523807744?lang=bn.
- 6.
The review is available on: https://www.facebook.com/groups/cartidecitit/.
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Macovei, A., Gagea, O., Trandabăţ, D. (2016). Towards Creating an Ontology of Social Media Texts. In: Trandabăţ, D., Gîfu, D. (eds) Linguistic Linked Open Data. RUMOUR 2015. Communications in Computer and Information Science, vol 588. Springer, Cham. https://doi.org/10.1007/978-3-319-32942-0_2
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