Researchers<cite> (He et al., 2018)</cite> recently studied natural language negotiations in buyer-seller bargaining setup, which is comparatively less restricted than previously studied game environments (Asher et al., 2016; Lewis et al., 2017) . Lack of a well-defined structure in such negotiations allows humans or agents to express themselves more freely, which better emulates a realistic scenario. Interestingly, this also provides an exciting research opportunity: how can an agent leverage the behavioral cues in natural language to direct its negotiation strategies? Understanding the impact of natural language on negotiation outcomes through a data-driven neural framework is the primary objective of this work.