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Affective Feedback Synthesis Towards Multimodal Text and Image Data

Implementation for the paper (submitted to ACM Transactions on Multimedia Computing, Communications, and Applications).
Affective Feedback Synthesis Towards Multimodal Text and Image Data
Puneet Kumar, Gaurav Bhatt, Omkar Ingle, Daksh Goyal and Balasubramanian Raman

Code Files

The files baseline1.ipynb, baseline2.ipynb and baseline3.ipynb contain the implmentation for the baseline models whereas the final model's implementation can be found in MMFeed.ipynb.

Dataset Details & Access

The IIT Roorkee Multimodal Feedback (IIT-R MMFeed) Dataset dataset' has been compiled by Puneet Kumar, Omkar Ingle, Daksh Goyal and Gaurav Bhatt at Machine Intelligence Lab, IIT Roorkee under the supervision of Prof. Balasubramanian Raman. It consists of 9,479 samples containing news text, images, user comments, and the number of likes for each comment. The process to crawl the data from Twitter feeds is depicted in the following diagram:

Access to the IIT-R MMFeed dataset can be obtained by through Access Form - IIT-R MMFeed Dataset.pdf.

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