Is the appeal of this tool its ability to identify semantic similarity?
The use case could vary from person to person. When you think about it, hacker news has large enough data set ( and one that is widely accessible ) to allow all sorts of fun analyses. In a sense, the appeal is:
who knows what kind of fun patterns could emerge
The use case could vary from person to person. When you think about it, hacker news has large enough data set ( and one that is widely accessible ) to allow all sorts of fun analyses. In a sense, the appeal is:
who knows what kind of fun patterns could emerge