Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
The ability to generate sentiment-controlled feedback in response to multimodal inputs,
comprising both text and images, addresses a critical gap in human-computer interaction by …
comprising both text and images, addresses a critical gap in human-computer interaction by …
Automatic Evaluation of Machine Generated Feedback For Text and Image Data
P Goyal, A Raj, P Kumar… - 2022 IEEE 5th …, 2022 - ieeexplore.ieee.org
In this paper, a novel system,'AutoEvaINet,'has been developed for evaluating machine-
generated feedback in response to multimodal input containing text and images. A new …
generated feedback in response to multimodal input containing text and images. A new …
Unsupervised Emotion Matching for Image and Text Input
As digital media continues to expand, accurately interpreting emotions from images and text
poses an ongoing challenge. This paper introduces a novel unsupervised learning …
poses an ongoing challenge. This paper introduces a novel unsupervised learning …
[PDF][PDF] de Publicación Towards a method to quantitatively measure toolchain inter
JM Alvarez-Rodríguez, EC Roy Mendieta - Computer Standards & … - e-archivo.uc3m.es
The development of systems involves the application of different techniques and tools
throughout the entire development life cycle. This leads to the generation of multiple system …
throughout the entire development life cycle. This leads to the generation of multiple system …
[PDF][PDF] Multimodal Emotion Analysis using Deep Learning Techniques (UPCON 2022 PhD Colloquium)
P Kumar, B Raman - researchgate.net
The need to develop computational systems to recognize the emotions portrayed in various
modalities such as image, text, and speech is increasing rapidly. This doctoral thesis aims to …
modalities such as image, text, and speech is increasing rapidly. This doctoral thesis aims to …