Thanks to recent advances in machine learning, some say AI is the new engine and data is the new coal. Mining this 'coal' from the ever-growing Social Web, however, can be a formidable task. In this work, we address this problem in the context of sentiment analysis using convolutional online adaptation learning (COAL). In particular, we...
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2020 (v1)PublicationUploaded on: April 14, 2023
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2023 (v1)Publication
Expressiveness varies from one person to another. Most images posted on Twitter lack good labels and the accompanying tweets have a lot of noise. Hence, in this paper we identify the contents and sentiments in images through the fusion of both image and text features. We leverage on the fact that AlexNet is a pre-trained model with great...
Uploaded on: February 14, 2024