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Verity analyses contextual categories, keywords and sentiment results using various methods and data models, outlined in the following table:
IAB Content Categories v1 and v2 | Content classifiers predict Content classifier predicts the likelihood that the given content belongs to one or more IAB categories. |
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Keywords | A set of rules derives, scores, and ranks the most important keywords. |
Sentiments | Machine learning predicts the sentiment of each sentence within content by applying models trained on content with varying tones of voice. Verity returns an aggregated breakdown of the proportion of sentences in the content that are positive, neutral or negative (referred to as Document Level Sentiment Analysis). |
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