Creating Smarter Online Communities with NLP and Network Analytics
Aadit Barua, Westlake High School, Austin, TX.
A valuable resource, but too much data overload?
Online communities are platforms for in-depth discussions and interactions between people with shared interests. From car and hi-fi enthusiasts to patients suffering from a chronic disease, members in these online communities have a variety of objectives, including obtaining advice from experts, understanding the perception of the crowd regarding a product or service, and seeking support from others in dealing with a problem. Starting with electronic bulletin boards in the 1980s, online communities have been around for well over 35 years, though they include a wide variety of platforms today, including online forums, social networking sites, and chat rooms. While Web 2.0 transformed the real time nature of online interactions, very little has fundamentally changed in the features of these platforms over the decades. The successful ones have tens or hundreds of thousands of users and even millions of posts, with some providing basic keyword search, and a set of frequently asked questions. The challenge for a user is to find relevant information and insights without spending an excessive amount of time and effort, or to easily connect with users who share strong similarities instead…
