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.

Papers

November 28, 2022

Sentiment analysis and opinion mining on E-commerce site
Fatema Tuz Zohra Anny, Oahidul Islam
Sentiment Analysis E Commerce Opinion Mining Public Sentiment Polarity Classification

November 24, 2022

Multitask Learning for Low Resource Spoken Language Understanding
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Automatic Speech Recognition Sentiment Analysis Multi Task Speech Processing Multitask Learning Intent Classification

November 23, 2022

Holistic Visual-Textual Sentiment Analysis with Prior Models
Junyu Chen, Jie An, Hanjia Lyu, Christopher Kanan, Jiebo Luo
Sentiment Analysis Holistic Approach Prior Model Polarity Prediction

November 21, 2022

LSTM based models stability in the context of Sentiment Analysis for social media
Bousselham El Haddaoui, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia
Sentiment Analysis Recurrent Neural Network Long Short Term Memory Social Medium Context Information Model Stability

November 14, 2022

November 12, 2022

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts
Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria
Sentiment Analysis Prompt Learning Multimodal Sentiment Analysis Multimodal Content Multimodal Sentiment

November 10, 2022

November 9, 2022

Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
Ali Nazarizadeh, Touraj Banirostam, Minoo Sayyadpour
Data Set Practical Algorithm Sentiment Analysis Narrative Review LSTM Network Implicit Sentiment

November 8, 2022

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions
Juan Sebastián Salcedo Gallo, Jesús Solano, Javier Hernán García, David Zarruk-Valencia, Alejandro Correa-Bahnsen
Sentiment Analysis Customer Service Document Level Sentiment Controversy Detection

November 7, 2022

A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
Sentiment Analysis Stance Detection Multi Task Model Climate Misinformation Climate Change Tweet

November 5, 2022

A Comparison of Automatic Labelling Approaches for Sentiment Analysis
Sumana Biswas, Karen Young, Josephine Griffith
Sentiment Analysis Consistent Comparison Automatic Labeling Human Labelling

November 4, 2022

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets
Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder
Sentiment Analysis Social Medium Covid 19 State of the Art User Sentiment Text Analysis

October 31, 2022

A Case Study of Chinese Sentiment Analysis on Social Media Reviews Based on LSTM
Lukai Wang, Lei Wang
Case Study Sentiment Analysis Long Short Term Memory Public Opinion

October 29, 2022

Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation
Saurav K. Aryal, Howard Prioleau, Gloria Washington
Natural Language Processing Sentiment Analysis Segmentation Based Approach Code Switched Multilingual Sentiment

October 27, 2022

Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis
Miriam Anschütz, Tobias Eder, Georg Groh
Sentiment Analysis Social Medium Information Retrieval Multimodal Phenomenon Implicit Sentiment Aspect Based Sentiment Analysis User Generated Content Human Opinion Positive Sentiment

October 26, 2022

October 22, 2022

Volatility forecasting using Deep Learning and sentiment analysis
V Ncume, T. L van Zyl, A Paskaramoorthy
Deep Learning Deep Learning Model Sentiment Analysis Market Volatility Volatility Forecasting

Sentiment Analysis

Papers

Sentiment analysis and opinion mining on E-commerce site

Multitask Learning for Low Resource Spoken Language Understanding

Holistic Visual-Textual Sentiment Analysis with Prior Models

LSTM based models stability in the context of Sentiment Analysis for social media

Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure

Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

BERT-Based Combination of Convolutional and Recurrent Neural Network for Indonesian Sentiment Analysis

Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions

A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets

A Comparison of Automatic Labelling Approaches for Sentiment Analysis

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets

A Case Study of Chinese Sentiment Analysis on Social Media Reviews Based on LSTM

Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation

Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis

Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding

Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages

Volatility forecasting using Deep Learning and sentiment analysis