A survey of textual emotion recognition and its challenges

J Deng, F Ren - IEEE Transactions on Affective Computing, 2021 - ieeexplore.ieee.org
Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …

A performant deep learning model for sentiment analysis of climate change

M Lydiri, Y El Mourabit, Y El Habouz, M Fakir - Social Network Analysis …, 2022 - Springer
Climate change is one of the most trend topics of the decade in the world. The recent years
were the warmest in 139 years, however identifying deniers and believers of this subject still …

SentiNeg: algorithm to process negations at sentence level in sentiment analysis

SR Savanur, R Sumathi - International Journal of Software …, 2023 - igi-global.com
Sentiment analysis is the process of identifying and categorizing opinions computationally to
determine the attitude expressed in the spoken or written text as positive, negative, or …

CID: Categorical Influencer Detection on microtext-based social media

TT Quan, DT Mai, TD Tran - Online Information Review, 2020 - emerald.com
Purpose This paper proposes an approach to identify categorical influencers (ie influencers
is the person who is active in the targeted categories) in social media channels. Categorical …

A multi-modal image encoding and self-attention-based transformer framework with sentiment analysis for financial time series prediction

RP Varshney, DK Sharma - International Journal of …, 2025 - inderscienceonline.com
In this paper, we propose a novel approach for financial time series forecasting using feature
selection, image encoding, and a self-attention-based CNN transformer. We use Markov …

Wisdom media era of big data in the application of the short video from the media

Z Li - The 2020 International Conference on Machine …, 2021 - Springer
In today's era, with the wide application of artificial intelligence AI, the application of media is
gradually approaching to intelligence, the application of big data in the era of smart media …

Nested variational autoencoder for topic modelling on microtexts with word vectors

T Trinh, T Quan, T Mai - Expert Systems, 2021 - Wiley Online Library
Most of the information on the Internet is represented in the form of microtexts, which are
short text snippets such as news headlines or tweets. These sources of information are …

[PDF][PDF] Research on Textual Emotion Recognition based on Deep Learning Methods

邓佳文, トウカブン - 2021 - tokushima-u.repo.nii.ac.jp
I would like to use this opportunity to express my gratitude to everyone who supported me
throughout my Ph. D course. I thank all the teachers and friends for their aspiring guidance …