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Irony and sarcasm expression in Twitter

5 pagesPublished: March 18, 2019


Information extraction and sentiment analysis of social net contents is a relatively new field, but a very promising and quickly developing one. In the current work, we discuss the possibilities of automatic detection and analysis of ironic and sarcastic messages in one of the most popular (among both users and researches) social nets - Twitter. A particular trait of this research will consist in analyzing the languages content, which is rarely observed. We will focus on the material of Spanish, German and Russian languages, trying to implement the same analysis algorithms to all three as well and to define the differences.

Keyphrases: feature extraction, Natural Language Processing, statistical analysis

In: Gerhard Wohlgenannt, Ruprecht von Waldenfels, Svetlana Toldova, Ekaterina Rakhilina, Denis Paperno, Olga Lyashevskaya, Natalia Loukachevitch, Sergei O. Kuznetsov, Olga Kultepina, Dmitry Ilvovsky, Boris Galitsky, Ekaterina Artemova and Elena Bolshakova (editors). Proceedings of Third Workshop "Computational linguistics and language science", vol 4, pages 45--49

BibTeX entry
  author    = {Tatiana Zefirova and Natalia Loukachevitch},
  title     = {Irony and sarcasm expression in Twitter},
  booktitle = {Proceedings of Third Workshop "Computational linguistics and language science"},
  editor    = {Gerhard Wohlgenannt and Ruprecht von Waldenfels and Svetlana Toldova and Ekaterina Rakhilina and Denis Paperno and Olga Lyashevskaya and Natalia Loukachevitch and Sergei O. Kuznetsov and Olga Kultepina and Dmitry Ilvovsky and Boris Galitsky and Ekaterina Artemova and Elena Bolshakova},
  series    = {EPiC Series in Language and Linguistics},
  volume    = {4},
  pages     = {45--49},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2398-5283},
  url       = {},
  doi       = {10.29007/tpzw}}
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