Sentiment Analysis

Sentiment analysis aims to automatically determine the emotional tone expressed in text, aiming to understand opinions and attitudes. Current research heavily focuses on leveraging large language models (LLMs) like BERT and its variants, along with other architectures such as graph neural networks, to improve accuracy and efficiency, particularly in multimodal settings and low-resource languages. This field is crucial for various applications, including market research, social media monitoring, and understanding public opinion, driving advancements in natural language processing and impacting decision-making across numerous sectors.

546papers

Papers - Page 8

September 5, 2024

An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification
Uncertainty Aware Deployment Data Augmentation Diffusion Language Model Low Resource Sentiment Analysis

September 4, 2024

Do Large Language Models Possess Sensitive to Sentiment?
Sentiment Analysis Sentiment Analysis Benchmark Implicit Sentiment User Sentiment Sensitive Data

August 29, 2024

A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
Sentiment Analysis Longitudinal Sentiment Large Language Model Covid 19

August 27, 2024

DualKanbaFormer: Kolmogorov-Arnold Networks and State Space Model Transformer for Multimodal Aspect-based Sentiment Analysis
Sentiment Analysis Aspect Based Sentiment Analysis Cross Modal Kolmogorov Arnold Network Textual Representation Augmented Transformer Multimodal Phenomenon State Space Model

August 26, 2024

Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem
Jury Theorem Condorcet Method Local Independence Voting Classifier Large Language Model Sentiment Analysis Continuum Limit Majority Voting

August 23, 2024

Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
Aspect Term Extraction Hybrid Approach Aspect Based Sentiment Analysis Sentiment Analysis Text Review

August 22, 2024

August 19, 2024

A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification
Text Classification Strategy Logic Transformer Era Transformer Model Sentiment Analysis Sentiment Analysis Datasets Transformer Megatron Decepticons Open Source Large Language Model

August 17, 2024

Sentiment analysis of preservice teachers' reflections using a large language model
Sentiment Analysis LLM Evaluation Good Teacher Large Language Model Critical Reflection

August 16, 2024

August 15, 2024

August 9, 2024

Ensemble BERT: A student social network text sentiment classification model based on ensemble learning and BERT architecture
Ensemble Neural Network Ensemble Learning BERT Architecture Sentiment Analysis Ensemble BERT BERT Model Student Friendly Knowledge

August 8, 2024

August 7, 2024

Decoding Visual Sentiment of Political Imagery
Sentiment Feature Image Sentiment Political Communication Sentiment Analysis

August 5, 2024

Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs
Multimodal Sentiment Multimodal Data Sentiment Analysis

August 3, 2024

Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
Leg Failure Input Sequence Context Window Simpler Solution Large Language Model Sentiment Analysis Long Sequence

Sentiment Analysis

Papers - Page 8

An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification

Do Large Language Models Possess Sensitive to Sentiment?

A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models

DualKanbaFormer: Kolmogorov-Arnold Networks and State Space Model Transformer for Multimodal Aspect-based Sentiment Analysis

Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem

Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews

Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning

Implicit Sentiment Analysis Based on Chain of Thought Prompting

A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification

Sentiment analysis of preservice teachers' reflections using a large language model

BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis

Quantifying the Effectiveness of Student Organization Activities using Natural Language Processing

Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models

A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification

Ensemble BERT: A student social network text sentiment classification model based on ensemble learning and BERT architecture

Analyzing Consumer Reviews for Understanding Drivers of Hotels Ratings: An Indian Perspective

Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments

Decoding Visual Sentiment of Political Imagery

Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs

Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly