Sentiment and Social Network Analysis
Blog post from Neo4j
SocialBee is a software tool developed by Novetta that uses social network analysis to identify trends and patterns in online communications. It pairs metadata with data and communication content to analyze behavior, sentiment, and topics over time. SocialBee can predict hidden relationships, entity resolution, and clustering of communities based on behavior. The tool uses Neo4j to store data and applies non-negative matrix factorization (NMF) topic modeling to extract meaningful insights from unstructured text data. By incorporating structured text into a social network stored in Neo4j, SocialBee can identify influential nodes for specific topics and find disconnected nodes within communities. The tool has been tested on the Enron email corpus with promising results, including uncovering hidden relationships and entity resolution challenges.
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