Twitter hashtags analysis (election in Poland) To gather data | OSIntOps News

Twitter hashtags analysis (election in Poland)
To gather data and make analysis I used following tools, including: Twint, NiFi, Spark, Neo4j, neovis.js, Zeppelin (with highcharts).
Above data and quite superficial analysis show interesting dependents as well as emerge accounts standing out in various terms. In following steps you can extend a data set by different hashtags and check if any significant changes appear. Most likely in case of Szymon Hołownia, we could win more interesting results as it seems that at least equally strongly he uses other hashtags as #ZoltaRewolucja or #EkipaSzymona, but then a data set would have to be strongly extended for other candidates. Examining tweets sentiment or grouping them with used words, would be interesting for sure. Finally, the accounts may be checked by Machine Learning model trained for bots detection. There are lots of possibilities Anytime soon I will be posting similar analysys with a use of mentioned mechanisms.
https://blog.datahunters.ai/2020/07/twitter-hashtags-analysis-election-in-poland/ (