Abstract : The Web is an open platform where users are free to publish their own opinions, to discuss the latest news, to write reviews about a service or product. Given the growing number of online platforms allowing such interactions, it is becoming more and more important to support users in understanding the meaning of such conversations by identifying the context of the discourse, and the evidence and background knowledge required to evaluate the proposed arguments. In this paper, we suggest recording the rough context with communicative intentions to help classify arguments on the Web. We describe five communicative intentions: recreation, information, instruction, discussion, and recommendation. We suggest that this classification can help identify and analyze messages for the Argument Web. In particular, we discuss the suitable combinations of natural language processing techniques and argumentation-based reasoning to support users in understanding the discussions.