Abstract
Increasing popularity of smart phones, economic Internet packages and social media have changed the way of life the people are living. Social media plays an important role in today’s generation. They use it for their own promotion, entertainment and even to an extent they share their sorrows and joys on social media. At the same time, the way of expressing themselves on social media has also changed a lot. People prefer to express themselves in their own regional language. As a result, the way of writing on social media has been changed. This has also resulted into the emergence of new languages which is blend of any regional language and English language. The opinions are written in regional language but in Roman script. With the availability of such massive opinionated data on social media, it is of no use if such data is not organized and used properly. This huge data may be used for the machines to learn and make them capable of taking the decisions like human beings. This paper discusses about the importance of opinion mining in blend of two languages and hence proposes a neural network architecture that can be trained on such opinions as negative or positive.
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Khurana, N. (2021). Sentiment Analysis of Regional Languages Written in Roman Script on Social Media. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_13
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DOI: https://doi.org/10.1007/978-981-15-4474-3_13
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