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They say sentiment analysis API (Preceive)
The analysis is powered by a hybrid Natural Language Processing (NLP) engine that runs highly sophisticated linguistic algorithms and Machine Learning classifiers. The engine is wrapped in a platform-agnostic REST API service that enables your software applications, workflows, and services to receive rich TheySay JSON metadata with minimal integration work
Type of content:
Assets
Type of asset:
Application
Big data potential
Yes
Phase in the policy cycle:
Policy Design and Analysis
TRL
5
Implementation/customisation cost
Low
Open license availability
Yes
Ease of use
Low
Tags:
Machine learning
Process and resource optimisation
Addresses:
| SWOT Analysis for They say sentiment analysis API (Preceive) |
||
|---|---|---|
| Helpful | Harmful | |
Internal |
Strengths• Helps businesses make sense of human signals in ever-increasing data • Provides the ability to extract sensitive human signals from masses of raw, cold text data – creating real value, clarity, and time-critical intelligence for shaping a business. |
Weaknesses• Low TRL • Low ease of use • Ownership of Data • Focus mainly on large enterprises |
External |
Opportunities• Shortcomings of existing approaches to computational sentiment and emotion analysis | Threats• Low ease of use and TRL • Rest API security risks • Data • Ownership of Data |
