Text‐based emotion detection: Advances, challenges, and opportunities

FA Acheampong, C Wenyu… - Engineering …, 2020 - Wiley Online Library
Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …

Emotion recognition in conversation: Research challenges, datasets, and recent advances

S Poria, N Majumder, R Mihalcea, E Hovy - IEEE access, 2019 - ieeexplore.ieee.org
Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …

BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis

W Li, W Shao, S Ji, E Cambria - Neurocomputing, 2022 - Elsevier
Sentiment analysis in conversations has gained increasing attention in recent years for the
growing amount of applications it can serve, eg, sentiment analysis, recommender systems …

Text‐Based Emotion Recognition Using Deep Learning Approach

SK Bharti, S Varadhaganapathy… - Computational …, 2022 - Wiley Online Library
Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions
towards a given goal, such as people, activities, organizations, services, subjects, and …

A review of different approaches for detecting emotion from text

AR Murthy, KMA Kumar - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
Emotion detection and analysis is one of the challenging and emerging issues in the field of
natural language processing (NLP). Detecting an individual's emotional state from textual …

[PDF][PDF] BERT-CNN: A Deep Learning Model for Detecting Emotions from Text.

AR Abas, I Elhenawy, M Zidan… - Computers, Materials & …, 2022 - academia.edu
Due to the widespread usage of social media in our recent daily lifestyles, sentiment
analysis becomes an important field in pattern recognition and Natural Language …

Multitask learning for emotion and personality traits detection

Y Li, A Kazemeini, Y Mehta, E Cambria - Neurocomputing, 2022 - Elsevier
In recent years, deep learning-based automated personality traits detection has received a
lot of attention, especially now, due to the massive digital footprints of an individual …

Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach

MS Islam, MN Kabir, NA Ghani, KZ Zamli… - Artificial Intelligence …, 2024 - Springer
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Emotion prediction for textual data using GloVe based HeBi-CuDNNLSTM model

D Mahto, SC Yadav - Multimedia Tools and Applications, 2024 - Springer
In the digital era, social media websites have emerged as powerful tools for sharing
emotions worldwide, and significantly impacting people's social and personal lives. People …

Emotion detection of contextual text using deep learning

U Rashid, MW Iqbal, MA Skiandar… - 2020 4th …, 2020 - ieeexplore.ieee.org
In recent years, the data in the form of text is created in very huge amount in day to day
conversation on social media. We need a naive approach to analyzed and summarized data …