Abstract
Information and communication technology has changed rapidly over the past 20 years with a key development being the emergence of social media. The growing popularity of social media networks has revolutionized the way we view ourselves, the way we see others and the way we perceive the world and interact with one another. More than that, we have witnessed that opinionated postings in social media have helped reshape businesses, and sway public sentiments and emotions, hence the importance of sentiment analysis on social media.
We are interested in studying the opinions of Moroccan Internet users, so this article presents a new electronic dictionary called “DELSOM” that is intended for the sociolect language used by Moroccan Internet users on the web and social networks. It presents in detail the process of developing this dictionary, namely the general features of this knowledge base, the morphological and syntactic specifications that characterize this first draft of the characterization of this new language, the different grammatical and phonetic rules, and the modeling schemes adopted to define the entries of this dictionary.
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Notes
- 1.
It’s our translation as native speakers (see generative grammar of Noam Chomsky).
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Mansouri, F., Abdelalim, S., Tabii, Y. (2018). Modeling and Development of the Linguistic Knowledge Base DELSOM. In: Tabii, Y., Lazaar, M., Al Achhab, M., Enneya, N. (eds) Big Data, Cloud and Applications. BDCA 2018. Communications in Computer and Information Science, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-319-96292-4_38
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