Client Brief
- The client wanted to have a better understanding of how people engage on their Facebook pages
- The main objective was to understand which topics generate engagement and how users interact with the page and with each other
Solution
- Using Natural Language Processing techniques, the posts published by the client's pages were clustered by topics
- For each topic, user engagement (likes, reactions, shares, comments) was analysed to identify the successful topics
- The textual content (users comments) was also analysed to know more about their feeling about topics (sentiment analysis) and what they discuss (word clouds)
- Network analysis was also conducted on users' comments to know who answers to who in the comments
Deliverable
- Final presentation containing all the data visualisations (word clouds, sentiment graphs, networks...) and conclusions