This paper presents an approach towards bi-lingual sentiment analysis of tweets. Social networks being most advanced and popular communication medium can help in designing better government and business strategies. There are a number of studies reported that use data from social networks; however, most of them are based on English language. In this research, we have focused on sentiment analysis of bilingual dataset (English and Roman-Urdu) on topic of national interest (General Elections). Our experiments produced encouraging results with 76% of tweet's sentiment strength classified correctly. We have also created a bi-lingual lexicon that stores the sentiment strength of English and Roman Urdu terms. Our lexicon is available at: https://sites.google. com/a/mcs.edu.pk/ codteem/biling-senti © Springer International Publishing Switzerland 2014.
CITATION STYLE
Javed, I., Afzal, H., Majeed, A., & Khan, B. (2014). Towards creation of linguistic resources for bilingual sentiment analysis of Twitter data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8455 LNCS, pp. 232–236). Springer Verlag. https://doi.org/10.1007/978-3-319-07983-7_32
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