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Sentiment analysis for the French language remains an under-developed research area. At the same time, sentiment analysis works well for identifying conflictual discourses in English. Today, identifying sentiment in social networks and microblogs, including Twitter, is a growing area of studies, but despite French is one of the most popular post-colonial languages online, the studies of user sentiment in this language are still rare enough. Also, there are practically no studies that would link sentiment analysis ...

Political discourse of social networks (and the discourse of Twitter in particular) exhibits a number of structural and semantic features that differentiate it from other political discourses. Such factors as multimodality, interactivity, immediacy and limitation on the message length affect the communication on Twitter in terms of what communicative strategies are used and how they are implemented. This study explores the linguistic and paralinguistic means employed by US presidential candidates Donald Trump and ...