WROC Projects
WROC Projects
Method
MassMine
Contributors: Nick Van Horn & Aaron Beveridge
Description: MassMine is a command line tool designed for researchers to simplify the collection and use of data from online sources such as social media networks.
NTTC: A Python module for social network analysis
Contributors: Chris Lindgren
Description: A set of functions that process and create topic models from a sample of community-detected Twitter networks' tweets. It assumes you have a desire to investigate communities across periods and the tweets from each detected community.
Analytics
Critical Fan Toolkit
Contributors: Cara Marta Messina
Description: Toolkit suite that documents and provides resources to collect and analyze data about fanfiction and fanatics.
Hedge-O-Matic
Contributors: Ryan Omizo and Bill Hart-Davidson
Description: The Hedge-O-Matic tokenizes and classifies sentences as either a hedge or non-hedge by a Support Vector Machine trained on a corpus of hedgey and non-hedgey sentences culled from academic science journals. It outputs results in mutliple media formats for analysis.
Dashboards
Conflict Metrics
Contributors: S. Scott Graham, Zoltan P. Majdik, and Dave Clark
Description: Dashboard that explores relationships among commercial practices and author conflicts of interest in biomedical publishing.