Issue:
The client is a leading content marketer in Finance industry and wanted to build a robust solution that would identify future trending topics and help their content writers publish relevant content. They also provided these insights to the advertisers to target users based on interest (visits) and engagement (clicks).
Solution:
- Absence Web Scraping: Content scraped from over a million URLs read by client’s users.
- Topic Modeling: Finance data classified into 45 topics (e.g., Stocks, Bonds, Cryptocurrency) using LDA algorithm based on scraped content.
- Forecasting: Predicted user visits and clicks using advanced models (S-ARIMA, LSTM RNN) by topic to anticipate future user interest.
Impact:
- Cost-effective solution with limited manpower for CCTV monitoring.
- High accuracy in monitoring and identifying incidents/events.
- Real-time notifications (via alerts) for incident prevention rather than reaction.
