Professional development in its most traditional form is a classroom setting with a lecturer and an overwhelming amount of information. It is no surprise, then, that informal professional development away from institutions and on the teacher's own terms is a growing phenomenon due to an increased presence of educators on social media. These communities of educators use hashtags to broadcast to each other, with general hashtags such as #edchat having the broadest audience. However, many math educators use the hashtags #ITeachMath and #MTBoS, communities I was interested in learning more about. I built a Python script that used Tweepy to connect to Twitter's API, using try/except blocks to catch HTTP status codes that Twitter occasionally passes through the API. When it was finally completed, a sample of such tweets was collected and then processed using Python to determine polarity, objectivity, and word frequency, first as a group and then by choice of hashtag. Additional analysis included Latent Dirichlet Allocation and hierarchical clustering, and conversations between individuals were analyzed for topic and complexity to understand the extent of interactions. This information will be used to determine the extent of professional development (PD) that teachers do on Twitter simply by actively participating in such communities and ways to improve informal PD. It was determined that there is a significant amount of professional development opportunities on Twitter, but they are muddled by a lot of other content. Further research into the types and the frequency of collaborations on top of the existing latent topics could provide insight into the applications of informal professional development.
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