Job Detection in Twitter

01/11/2017

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by   Besat Kassaie, et al.

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In this report, we propose a new application for twitter data called job detection. We identify people's job category based on their tweets. As a preliminary work, we limited our task to identify only IT workers from other job holders. We have used and compared both simple bag of words model and a document representation based on Skip-gram model. Our results show that the model based on Skip-gram, achieves a 76% precision and 82% recall.