Annotating Targets of Opinions in Arabic using Crowdsourcing
Noura Farra, Kathy McKeown, Nizar Y. Habash · 2015
We present a method for annotating targets of opinions in Arabic in a two-stage process using the crowdsourcing tool Amazon Mechanical Turk.The first stage consists of identifying candidate targets "entities" in a given text.The second stage consists of identifying the opinion polarity (positive, negative, or neutral) expressed about a specific entity.We annotate a corpus of Arabic text using this method, selecting our data from online commentaries in different domains.Despite the complexity of the task, we find high agreement.We present detailed analysis.