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KOSI- Key Object Detection for Sentiment Insights.

Dimanov, D. and Rostami, S., 2020. KOSI- Key Object Detection for Sentiment Insights. In: UK Workshop on Computational Intelligence (UKCI2019), 4-6 September 2019, Portsmouth, UK, 296 - 306.

Full text available as:

UKCI2019Paper.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1007/978-3-030-29933-0_25


© 2020, Springer Nature Switzerland AG. 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:32921
Deposited By: Symplectic RT2
Deposited On:16 Oct 2019 09:44
Last Modified:14 Mar 2022 14:18


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