Opinion analysis of Bi-lingual Event Data from Social Networks

Social networks have recently emerged as the fastest and very effec- tive medium to express news updates, trends and expression of personal views. There have been several studies to perform detailed sentiment analysis on such data in most of the developed languages. However, Urdu lacked any such study despite being spoken by around 30 Million people around the globe and used in regions with fastest growth of broadband users. This research has been carried out as a first step in this direction, where a language resource comprising the sentiment strengths of Roman Urdu words has been proposed along with its utility by under taking a case study of spatial analysis of bi-lingual (Urdu and English) tweets in the context of a national event, i.e. genral elections 2013. The results are encouraging, showing the effective utility of the bi-lingual sentiment strength database.

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