A deep learning architecture of RA-DLNet for visual sentiment analysis
A Yadav, DK Vishwakarma - Multimedia Systems, 2020 - Springer
Visual media has become one of the most potent means of conveying opinions or
sentiments on the web. Millions of photos are being uploaded by the people on famous …
sentiments on the web. Millions of photos are being uploaded by the people on famous …
Sentiment word aware multimodal refinement for multimodal sentiment analysis with ASR errors
Multimodal sentiment analysis has attracted increasing attention and lots of models have
been proposed. However, the performance of the state-of-the-art models decreases sharply …
been proposed. However, the performance of the state-of-the-art models decreases sharply …
Transformer-based interactive multi-modal attention network for video sentiment detection
X Zhuang, F Liu, J Hou, J Hao, X Cai - Neural Processing Letters, 2022 - Springer
Social media allows users to express opinions in multiple modalities such as text, pictures,
and short-videos. Multi-modal sentiment detection can more effectively predict the emotional …
and short-videos. Multi-modal sentiment detection can more effectively predict the emotional …
[PDF][PDF] Audio-visual fusion for sentiment classification using cross-modal autoencoder
SH Dumpala, I Sheikh, R Chakraborty… - 32nd conference on …, 2019 - nips2018vigil.github.io
Humans often correlate information from multiple modalities, particularly audio and visual
modalities, while learning as well as interacting with the external environment. In this …
modalities, while learning as well as interacting with the external environment. In this …
Generalized Multiview Shared Subspace Learning Using View Bootstrapping
K Somandepalli, S Narayanan - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
A key objective in multiview learning is to model the information common to multiple parallel
views of a class of objects/events to improve downstream tasks such as classification and …
views of a class of objects/events to improve downstream tasks such as classification and …
Deep Learning-Based Complaint Classification for Indonesia Telecommunication Company's Call Center
S Lukitasari, F Hidayat - Proceedings of the 7th Mathematics, Science, and …, 2020 - eudl.eu
The preliminary research was held to utilize the call center conversations records from a
broadband telecommunications company in Indonesia. There is a need from the company to …
broadband telecommunications company in Indonesia. There is a need from the company to …