- Neticle Knowledge Base
- Text Analysis API
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What is Neticle Media Intelligence?
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NMI Basic Methodology
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Getting Started with NMI
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Zurvey.io Platform
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Zurvey.io Text Analysis Methodology
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Zurvey.io Home & Dataset
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Zurvey.io Inputs
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Zurvey.io Settings
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Zurvey.io Outputs
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Zurvey.io Survey Module
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Zurvey.io Audience
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Privacy & Legal
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Text Analysis API
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Data API
How does Neticle's sentiment analysis methodology work?
Neticle's algorithm is able to analyse this with human-level precision.
The basis of sentiment analysis is the sentiment lexicon, which consists of sentiment phrases and the numeric values associated with them (meaning every sentiment phrase in Neticle’s sentiment lexicon has a corresponding number as value).
For values, Neticle uses a scale of -3 to +3. -3 is the most negative, +3 is the most positive, while 0 means neutral sentiment. Then the system itself uses these sentiment phrases to build longer phrases or modify the existing ones, for example using adverbs or negation.
Neticle uses a unique sentiment lexicon for every language in its repertoire, so the sentiment analysis is carried out in the language of the original text, without translation.
Finally, the numeric values are added up, resulting in the sentiment value of a topic or the whole verbatim.