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:
Big data potential
Phase in the policy cycle:
Policy Design and Analysis
Implementation/customisation cost
Open license availability
Ease of use
Tags: Machine learning Process and resource optimisation
SWOT Analysis for
They say sentiment analysis API (Preceive)
Helpful Harmful
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
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

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