Digital enablement
iFeel : Sentiment Analysis Solution
Benefits
At scale sentiment analysis,
Quick response & Communication Planning, Cost saving, Better Engagement, Wider Customer reach
Metric
Media coverage,
Audience Engagement & Recall,
Measurable response to Promotions.
Challenges
Gathering News, Social media feed, Analyzing comprehensively & quickly. Keeping tab on sentiment to asses when action is warranted.
Difficulties faced
Too much and ever growing content, Language barriers, grammatically incorrect content, Unstructured data.
Key Features
Pre-set & new interfaces, Streaming data, Lexicography trained algorithms, Rich Visualization (Map, Timelines, Source classifications)
Precision Training
Verifiable results, intervention re-training allowed, Fit for purpsoe-choice of algorithms.
The Technology
Natural Language Processing, Machine Learning, AI
Several Use Cases
Sales & Marketing,
Public Relations,
Human Resource,
Politics, Media,
Governance.
Integration
Easy Data Integration-Social Media Feeds, RSS feeds, Rest API
Process-System-Data
Unstructured data upload, Web-UI, Automated Interface Streaming data, Rest API
On-Prem + Cloud
Deployment Options
Modular & Flexible
Cloud / On-Prem
Full Scope / Embed As Service
Flexi Licensing
By Module, User, Site or Time Subscription,
Several Options
Perpetual, Subscription, Site based, Sizing, Module Specific
User Experience
Rich UI, High Performance
Intuitive | Performance
Maps, Charts, Dashboards.
Multi-Device, GPU Support, Blazing Fast
Applying Technology
iFeel : Use Cases
- All
- Marketing
- Governance
- Human Resources
- Customer Service
- Research
- Media
Consumer Preference
Having a pulse of changing consumer behavior or response to promotion or competition sponsored event is important to be ahead in your game.
Sentiment analysis based on structured, unstructured text, social data feed gives precious clues.
Geo-Political Risk Assessment
Strategic and policy decisions carry a high risk. Stability and longevity of decision depend on reasons beyond your control parameters.
In order to protect the investment of time and resources for such causes, geo-political and market risks is important.
Mistrust in available data and professional skepticism is required to get your decisions right. It is a multi-dimensional study of curated clean data and unstructured data with precious insights if handled properly. Machine learning algorithms (NLP), clustering, associations, confusion matrix and many more techniques help in bringing out hidden indicators.
Brand Recall
Effectiveness of Promotion activity can be measured in positive brand recall. Surveys have limited coverage and could have bias of market research.
XML Sentiment analysis could assess brand sentiment and recall based on blogs, complaints etc.