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Topic modeling is a method of automated definition of subtopics in a text corpus. Usage of topic modeling for short texts, e.g. tweets, is highly complicated due to their short length and grammatical restructuring, including broken word order, abbreviations, and contamination of different languages. In this paper, the authors use the BTM topic modelling algorithm (previously found to work best in comparison with two other topic models measured by automated coherence metrics Umass and NPMI) to test three topic qual...

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 ...