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Visual Sentiment Ontology

Sentiment analysis on visual content

Visual Sentiment Ontology

The analysis of emotion, affect and sentiment from visual content has become an exciting area in the multimedia community allowing to build new applications for brand monitoring, advertising, and opinion mining. There exists no corpora for sentiment analysis on visual content, and therefore limits the progress in this critical area. To stimulate innovative research on this challenging issue, we constructed a new benchmark and database (you can browse the database at VSO Browsing Interface). This database contains a Visual Sentiment Ontology (VSO) consisting of 3244 adjective noun pairs (ANP), SentiBank a set of 1200 trained visual concept detectors providing a mid-level representation of sentiment, associated training images acquired from Flickr, and a benchmark containing 603 photo tweets covering a diverse set of 21 topics.

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Columbia University
https://www.columbia.edu
Task
Image Classification
Annotation Types
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Items
Classes
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Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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