***** To join INSNA, visit http://www.insna.org ***** Another option would be to use the python package nltk. Examples are in two books by Matt Russell (Mining the Social Wen and 21 Recipes for Mining Twitter, both O'Reilly). --Moses On Tue, Nov 6, 2012 at 12:31 AM, Derek Hansen <[log in to unmask]> wrote: > ***** To join INSNA, visit http://www.insna.org ***** Hi all, > > I'm giving a guest lecture in a couple days on the intersection of Social > Network Analysis and Natural Language Processing, particularly as applied > toward the analysis of social media datasets. I know there's been a lot of > activity lately at the intersection of SNA and NLP and I'd love to see a few > pointers to some good quality work in this area. > > Additionally, I'm hoping to flesh out a few high-level approaches for > merging the two in meaningful ways. Here are a few examples: > > 1) Use content-based factors (extracted via NLP techniques) as well as > SNA-based metrics as independent variables that predict an outcome of > interest (e.g., quality of content, such as was done in Agichtein, Castillo, > et al. 2008). > > 2) Use NLP to help define the edges in a network (e.g., "link polarity" as > performed by Kale 2007). > > 3) Use a 2-step filtering process: > 3a) Use SNA to identify network clusters and then use NLP on the corpus > created by those within each cluster (e.g., Marc Smith's graphs on the > NodeXL Graph Gallery where keywords are overlaid on the network clusters) > 3b) Use NLP to identify subsets of "relevant" content whose authors are then > analyzed via SNA. > > 4) SNA helps in disambiguating words (e.g., when one network cluster uses > the term "jaguar" they typically mean the sports team, while another network > cluster typically means the car). > > Other thoughts on high-level strategies would be welcome as well. > > Regards, > Derek Hansen > Brigham Young University > _____________________________________________________________________ SOCNET > is a service of INSNA, the professional association for social network > researchers (http://www.insna.org). To unsubscribe, send an email message to > [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of > the message. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.