Video description
Developing a social network map is fundamental to comprehensively understanding a person. Social networks are dynamic and better derived from real-world data than static configurations. However, the vast majority of this real world data is unstructured. This presentation will show how Synthesys uses very large scale unstructured data to create social network maps for reporting and further analysis.
Table of contents
Product information
- Title: Generating Dynamic Social Networks from Large Scale Unstructured Data
- Author(s):
- Release date: March 2011
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449305925
You might also like
article
Reinventing the Organization for GenAI and LLMs
Previous technology breakthroughs did not upend organizational structure, but generative AI and LLMs will. We now …
article
Three Ways to Sell Value in B2B Markets
As customers face pressure to reduce costs while maintaining profitability, value-based selling (VBS) has become critical …
video
ODSC Europe 2018 (Open Data Science Conference)
ODSC Europe 2018 Royalties for this video set help fund the ODSC Grant Award for open …
book
Scala:Applied Machine Learning
Leverage the power of Scala and master the art of building, improving, and validating scalable machine …
