• iFeel : Sentiment Analysis

    Natural Language Processing

    iFeel : Sentiment Analysis

    Machines can now read and interpret text with reasonable accuracy. Bots can have intelligent conversations. They are self learning and enriching themselves. Algorithm and training content is getting better.

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

Queries | Quote | Demo | Consultation

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