Stream Analytics Platform for Topic Mining
Case Studies
Challenges & Solutions
Technical Environment
Results
Executive Summary
Client
A Major Media & Entertainment Company
Industry
Communications & Media
Business Problem
The client wanted a reliable way to track real–time trending topics in India’s entertainment market, yet struggled to sift viral chatter from genuine news, suffered portal outages during traffic spikes, and lacked insight into regional languages. These gaps slowed editorial decisions, diluted audience engagement, and risked revenue losses through prolonged downtime and stale content flow.
Outcome
- Rapid detection of region–specific viral topics.
- 24×7 content pipeline with minimal latency.
- Multilingual sentiment insights for editorial teams.
Challenges
- Difficulty spotting fast–moving viral stories in social and online media.
- No real–time feed of regional newspaper content across multiple languages.
- Frequent portal downtime and lengthy recovery after peak–load crashes.
Solutions
- Implemented live–stream analytics to parse tweets and extract trending subjects.
- Indexed crawled regional newspaper text on a secondary layer for faster visual retrieval.
- Ran sentiment analysis on English and vernacular articles to classify tone and intent.
Technical Environment
- ELK
- MALLET
- DL4J
- Java
Results
- Trending topic identification latency cut to seconds.
- Indexing accelerated content search by orders of magnitude.
- Downtime mitigated through high–availability analytics cluster.