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List of Tables

1.1 Social media platforms and their characteristics

2.1 Three examples of Twitter texts

2.2 Examples of tokenization

2.3 Penn TreeBank tagset

2.4 POS tagset from Gimpel et al. [2011]

2.5 Example of tweet parsed with the TweeboParser

3.1 An example of annotation with the true location [Inkpen et al., 2015]

3.2 Classification accuracies for user location detection on the Eisenstein dataset [Liu and Inkpen, 2015]

3.3 Mean error distance of predictions on the Eisenstein dataset [Liu and Inkpen, 2015]

3.4 Results for user location prediction on the Roller dataset [Liu and Inkpen, 2015]

3.5 Performance of the classifiers trained on different features for cities [Inkpen et al., 2015]

3.6 Classification results for emotion classes and non-emotion by Ghazi et al. [2014]

3.7 Accuracy of the mood classification by Keshtkar and Inkpen [2012]

3.8 Statistics on hashtag use in the aligned bilingual corpus [Gotti et al., 2014]

3.9 Distribution of hashtags in epilogues and prologues [Gotti et al., 2014]

3.10 Percentage of unknown hashtags to English and French vocabularies of the Hansard corpus [Gotti et al., 2014]

3.11 Percentage of unknown hashtags to “standard” English and French vocabularies, after automatic segmentation of multiword hashtags into simple words [Gotti et al., 2014]

3.12 Translation performance obtained by Gotti et al. [2014]