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Quora is one of the most popular community Q&A sites of recent times.However, many question posts on this Q&A site often do not get answered. Inthis paper, we quantify various linguistic activities that discriminates ananswered question from an unanswered one. Our central finding is that the wayusers use language while writing the question text can be a very effectivemeans to characterize answerability. This characterization helps us to predictearly if a question remaining unanswered for a specific time period t willeventually be answered or not and achieve an accuracy of 76.26% (t = 1 month)and 68.33% (t = 3 months). Notably, features representing the language usepatterns of the users are most discriminative and alone account for an accuracyof 74.18%. We also compare our method with some of the similar works (Dror etal., Yang et al.) achieving a maximum improvement of ~39% in terms of accuracy.

Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora