Farhad Nooralahzadeh

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The main objective of this paper is to compare the sentiments that prevailed before and after the presidential elections, held in both US and France in the year 2012. To achieve this objective we extracted the content information from a social medium such as Twitter and used the tweets from electoral candidates and the public users (voters), collected by(More)
In the context of Social Media Analytics, Natural Language Processing tools face new challenges on on-line conversational text, such as microblogs, chat, or text messages, because of the specificity of the language used in these channels. This work addresses the problem of PartOf-Speech tagging (initially for French but also for English) on noisy language(More)
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