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KOSI- Key Object Detection for Sentiment Insights.

Dimanov, D. and Rostami, S., 2019. KOSI- Key Object Detection for Sentiment Insights. In: UK Workshop on Computational Intelligence (UKCI2019), 4-6 September 2019, Portsmouth, UK.

Full text available as:

UKCI2019_Paper__Daniel_Dimanov_.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.



This paper explores an original approach of using computer vision, data mining and an expert system to facilitate marketers and other interested parties to take automated data-driven decisions with the use of actionable insights. The system uses a state-of-the-art algorithm to retrieves all the images of a desired Instagram user profile. Then, the data is passed through a combination of different convolutional neural networks for object detection and a rule-based translation system to determine the interests of this profile user. Further, using a separately trained convolutional neural network with an original dataset developed as part of this study, personality insights are derived. The results from the conducted experiments yield a satisfactory prediction of interests and not very promising results for the personality prediction.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Image Analytics, Data Mining, Convolutional Neural Networks
Group:Faculty of Science & Technology
ID Code:32507
Deposited By: Symplectic RT2
Deposited On:10 Jul 2019 13:23
Last Modified:14 Mar 2022 14:16


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