Swain, from Right Relevance, uses Neo4j to analyze social media conversations and monitor public sentiment on important issues such as Brexit and the US Presidential election. He initially chose Neo4j due to its ease of use and found it extremely useful for developing graph-based projects. Swain has worked with Neo4j since version 3.0, which introduced support for whole-graph algorithms like PageRank and machine learning for community detection. The company used Neo4j to analyze social media conversations around the US presidential election, scaling their cluster and receiving technical support from Neo4j's Developer Relations team. Swain believes that if he were to start over with Neo4j, he would spend more time on analysis and less time writing graphs, given his background in SQL data modeling. Overall, Swain has had a positive experience with Neo4j, citing the company's technical support as particularly excellent.