  Persuasion and argumentation are possibly among the most complex examples of
the interplay between multiple human subjects. With the advent of the Internet,
online forums provide wide platforms for people to share their opinions and
reasonings around various diverse topics. In this work, we attempt to model
persuasive interaction between users on Reddit, a popular online discussion
forum. We propose a deep LSTM model to classify whether a conversation leads to
a successful persuasion or not, and use this model to predict whether a certain
chain of arguments can lead to persuasion. While learning persuasion dynamics,
our model tends to identify argument facets implicitly, using an attention
mechanism. We also propose a semi-supervised approach to extract argumentative
components from discussion threads. Both these models provide useful insight
into how people engage in argumentation on online discussion forums.
