Anand Kumar, M.Barathi Ganesh, H.B.Padannayil, K.P.Ajay, S.G.2026-02-062018ACM International Conference Proceeding Series, 2018, Vol., , p. 11-1521531633https://doi.org/10.1145/3293339.3293342https://idr.nitk.ac.in/handle/123456789/31260The growth of digital platforms enables the industries to serve user specific services. Most of the time, the information of the internet users are not explicitly available and it acts as a constrain in developing the personalized applications. There comes the need for author profiling tasks, which intends to predict the internet users characteristics from their texts. Native language Identification is one among the author profiling task, that predicts the authors native language from their texts available in other language. We have proposed Indian Native Language Identification task, where the internet users texts are written in English and participants needs to find, whether the user’s native language is from Tamil, Malayalam, Kannada, Telugu, Bengali and Hindi. The corpus is collected from texts from regional news paper pages available in Facebook by considering the hypothesis that the user belongs to a particular region will read the news from respective regional news paper. © 2018 Association for Computing Machinery.Author ProfilingFIRE 2018Indian LanguagesNative Language Identification