Latest Sentiment Analysis Research Papers

The newest Sentiment Analysis papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Sentiment Analysis so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• Human-Based Machine Translation Evaluation: A Multi-Dimensional Approach to Sentiment, Emotion, and Argumentation Preservation in Chinese-English Translation
  Jingshi Zhou · University of Liverpool · Jan 1, 2028

  The research landscape of Machine Translation Evaluation (MTE) has traditionally been dominated by automated metrics that, while computationally efficient, often fail to capture the nuanced aspects of translation quality paramount to human …

• Proposing Regression and Machine Learning Methods and Auto-Regressive Integrated Moving Average Time Series in Predicting the Price of Ripple Digital Currency
  Alireza Gharibshahian, Mohammad Reza Dehghani · Business Marketing and Fina... · Nov 1, 2026

  This study proposes a hybrid forecasting approach for predicting the price of Ripple's digital currency, XRP, by integrating autoregressive integrated moving average (ARIMA) time series models with machine learning (ML) techniques, includin…

• Aspect-Based Sentiment Analysis of Fashion and Apparel Related Reviews using Transformer Model
  Foud Ameri, Ghasem Bakhshandeh, Maryam Darvishi · Journal of Management and B... · Nov 1, 2026

  The increasing reliance on e-commerce has led to a surge in customer-generated content, making sentiment analysis a crucial tool for understanding consumer preferences. This study presents a novel aspect-based sentiment analysis (ABSA) appr…

• Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese
  Pedro Carvalho Brom · arXiv · Oct 29, 2026

  Building a language model of one's own no longer requires a data centre. This tutorial trains one from scratch, tokenizer included, on one consumer GPU, and shows how to tell whether it is good for the tasks of a specialist domain. It propo…

• Comparative Evaluation of LSTM, BiLSTM, and CNN Algorithm for Sentiment Analysis of Tinder Application
  Galih Isa Yudhistira · Journal of Applied Data Sci... · Oct 29, 2026
• Integrasi Sentiment-Aware Scoring pada Sistem Temu Kembali Produk E-Commerce Menggunakan TF-IDF dan VADER
  Juliyana Herman, Najwatul Hijriyah, Nur Aulia Soliha, Risvha Sandria Nizar et al. · SABER Jurnal Teknik Informa... · Oct 28, 2026

  The rapid development of the e-commerce ecosystem necessitates an information retrieval system that not only relies on text relevance but also quantitatively considers the quality of user opinions and sentiments. Therefore, this experimenta…

• A Study of Pragmatic Acts in Nigeria's Online Discourse on the 2024 New Tax Policy
  Abbas Adegoke Balogun, Arilesere Rotimi Mustapha · JALINGO JOURNAL OF LINGUIST... · Oct 28, 2026

  Nigeria's 2024 tax reform bills have provoked sustained public contestation across the country's digital public sphere, with X (formerly Twitter) emerging as a primary arena in which citizens question, condemn, and negotiate the terms of go…

• Linguistic polarity and narrative shifts in FATF annual reports: a sentiment analysis
  Çağrı Hamurcu · Crime Law and Social Change · Oct 28, 2026
• Thai-English target-based stock sentiment dataset for financial news with ICL-based evaluation
  Chayapat Uthayopas, Chalermpun Mai-On, Wannaphong Phatthiyaphaibun, Weerayut Buaphet et al. · Language Resources and Eval... · Oct 26, 2026

  Sentiment analysis of financial documents provides insights into market dynamics and investment decision-making. Among various approaches, target-based sentiment analysis (TBSA) is widely studied for its ability to associate sentiment with …

• MSAD-Moroccan dialect: a multimodal sentiment analysis dataset for Moroccan dialect (Darija)
  Ayoub Ben Cheikhi, El Habib Nfaoui · International Journal of Re... · Oct 25, 2026

  Sentiment analysis for Arabic dialects remains a significant challenge, mainly due to the scarcity of annotated resources and the inherently multimodal nature of real-world human communication. Among Arabic dialects, Moroccan Darija is part…

• Arabert with Graph Attention for Imbalanced Arabic Sentiment Classification: An Ablation Study of Fusion Strategies
  H. A. Ali, A. Sabir · African Journal Of Applied ... · Oct 25, 2026

  Purpose: This study examines whether combining AraBERT with a Graph Attention Network (GAT) over a semantic text graph improves three-class classification. Design/Methodology/Approach: Experiments were conducted on hotel reviews (HARD, 392,…

• Aspect-Based Sentiment Mapping of Google Reviews for Digital Reputation Insights of Private Higher Education Institutions in Padang City
  Aldo Eko Syaputra, Sopi Sapriadi, Wahyu Prima, Yofhanda Septi Eirlangga et al. · Journal of Information Syst... · Oct 24, 2026

  Online reviews provide public feedback for higher education institutions, but overall star ratings cannot explain which institutional aspects shape public perception. This study aims to provide partial and aspect-specific digital reputation…

• An Uncertainty-Aware Hybrid Symbolic-Lexicon Framework for Multi-Domain Sentiment Classification
  Saleh Yaakub, Mustafa Mat Deris, Ika Safitri Windiarti · Journal of Information Syst... · Oct 24, 2026

  Multi-domain sentiment classifiers may return a polarity label even when the evidence behind that decision becomes fragile under domain shift. This study evaluates an uncertainty-aware hybrid symbolic-lexicon framework designed to pair each…

• Optimal Portfolio Allocation with Gromov-Wasserstein Barycenter
  Alessandro Spelta, Nicoló Pecora, Mario Maggi · Computational Economics · Oct 24, 2026

  Abstract This paper develops a technique for an optimal portfolio allocation that explicitly accounts for different market phases. The basic idea is to distinguish market phases with respect to the dynamics of a sentiment index and to accor…

• Semantically Rich, Metrically Affect-Blind: A Geometric Blind Spot in Modern Text Embedders
  Mahdi Naser Moghadasi · arXiv · Oct 23, 2026

  We report a systematic dissociation in modern text embedders: sentiment is almost perfectly decodable from their embeddings, yet almost entirely absent from their metric. Across eleven frozen encoders spanning 2021 to 2026, including 2026-g…

• A new latent Dirichlet allocation for enhancing sentiment analysis in social network
  Fazidah Wahit, Nor Samsiah Sani, Salwani Abdullah · PeerJ Computer Science · Oct 23, 2026

  The volume of sentiment-rich text data produced on a daily basis by social network sites such as Twitter is very large. However, traditional approaches to sentiment analysis, especially approaches based on the Bag-of-Words (BoW) model have …

• Sentiment-Driven Forecasting of Fractional Trading Activity Using LSTM Networks
  Christina Erlwein‐Sayer, Sakir Kepezkaya, Natalie Packham, Alla Petukhina · Methodology And Computing I... · Oct 23, 2026

  Abstract Fractional trading has emerged as an opportunity for investors to invest in fractions of shares, enabling access to high-priced stocks even with small budgets, and thus reaching a bigger investment community. Aside from the invento…

• A COMPARATIVE STUDY OF MACHINE LEARNING TECHNIQUES FOR REAL-TIME SENTIMENT ANALYSIS USING WEB SCRAPING
  Epanagandla Subban Bee, Chitteti Pallavi, Vaka Karthika, Prasad J. Lalu · International Journal of Sc... · Oct 23, 2026

  Real-time sentiment analysis is an important task for understanding public opinions, emotions, and attitudes expressed through online content. This study presents a machine learning-based Real-Time Sentiment Analysis System with Web Scrapin…

• A multi-task learning approach for consumer sentiment classification and emotion detection via behavioral data
  Farhan Alam, Ashraf Kamal, Mohammad Meraj, Mohd Fazil et al. · Scientific Reports · Oct 22, 2026

  Sentiment analysis captures overall opinion polarity, but it often fails to reveal the key emotions that drive consumer behavior. The recognition of both sentiment and emotions provides crucial information to uncover underlying drivers of c…

• Did the emergence of the Omicron variant impact the COVID-19 vaccine sentiments in the Arab world? A Twitter-based comparative analysis
  Nada Dimashkieh Chehab · Wellcome Open Research · Oct 22, 2026

  Background Vaccine hesitancy constitutes a major obstacle for achieving herd immunity against coronavirus disease 2019 (COVID-19). Research has shown high vaccine hesitancy rates and low compliance among Arabic-speaking populations in the 2…

• CulturalRiddles: A Multicultural Benchmark of Riddles
  My Chiffon Nguyen, Tianyi Hu, Vinod Anbalagan, Henry Gagnier et al. · arXiv · Oct 21, 2026

  As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-centric, with limited cultural coverage and a focus on factua…

• Artificial Intelligence Governance of Outbreak Sentiment Surveillance Models Under Unmeasured Provincial Censorship Review Latency: A Healthcare Political Validity Evaluation
  Awa Ouedraogo, Mariam Traoré · Zenodo (CERN European Organ... · Oct 21, 2026

  Outbreak sentiment surveillance models are increasingly used to inform public health communication, yet the political conditions under which their outputs are reviewed before release remain unmeasured in most governance frameworks. The cent…

• Beyond a Single Sentiment Score: Topical and Affective Dimensions of Emoji Meaning on Twitter
  Rohan James, Ioannis Christofilogiannis, Yuuv Jauhari, Shreya Shah et al. · arXiv · Oct 20, 2026

  Emoji are widely treated as compact affective tokens whose meaning is summarised by a single sentiment score. We argue that this picture is incomplete. From a corpus of 16{,}575 English tweets and a per-emoji metric we call \emph{stability …

• Comparative Performance of Operating Systems in Handling Sentiment Analysis REST API Workloads
  Jody, Imelda · JURNAL TEKNIK INFORMATIKA · Oct 20, 2026

  This study evaluates the performance of a sentiment analysis REST API deployed across different operating system environments, with particular attention to tail latency and available operating-system-level execution indicators. The study ex…

• When digital literacy meets negative bias: Understanding the adoption of online information and sentiment on X
  Rila Setyaningsih, Didik Haryadi Santoso, Noor Afy Shovmayanti · Humanities, Arts and Social... · Oct 19, 2026

  Digital platforms increasingly mediate how citizens engage with public policy, shaping not only access to information but also the formation of collective interpretations and sentiments. In the context of Indonesia’s Free Nutritious Meal (M…

• AI-Assisted Sentiment Analysis of Student Voice: A Human-Validated Comparison of Lexicon and Transformer-Based Tools
  Wei You, Kevork Horissian · Intersection A Journal at t... · Oct 19, 2026

  Open-ended survey responses offer rich insights into the student experience, yet analyzing this qualitative data at scale is often time-consuming and labor-intensive. This study evaluates whether off-the-shelf sentiment analysis tools can v…

• Lightweight Transformer-based Ai Model for Multilingual and Code-mixed Sentiment Analysis
  vijay kumar · International Journal For M... · Oct 18, 2026

  Social media users increasingly communicate across language boundaries, often combining two or more languages within the same sentence and frequently writing Indian languages in Roman script. This creates a difficult setting for sentiment a…

• Cross-media affective differences in online reviews: aspect-level evidence and a dual-pathway mechanism
  Lifeng Chen, Fatian Jiang, Siti Nor Bayaah Ahmad · Asia Pacific Journal of Mar... · Oct 18, 2026

  Purpose This study investigates the micro-level structural differences in online review affect between social media and e-commerce platforms, exploring the underlying psychological mechanisms that drive consumers to selectively express pola…

• Hidden service climate archetypes in hotels: A text-analytic framework using employee narratives
  Xin Yu Bie, Zhi Zheng, Jae‐Joong Kim · Journal of Hospitality and ... · Oct 17, 2026

  This study investigates how hidden backstage organizational climates in hospitality settings shape latent service performance risks by leveraging digital employee voice data that are typically inaccessible through traditional survey methods…

• Exploring Perceptions of Digital Currency: A Sentiment Analysis and Islamic Perspective
  Aam Slamet Rusydiana · International Journal of Is... · Oct 17, 2026

  Digitalization in the economic and financial sectors is currently advancing at a very rapid pace. Topics concerning cryptocurrencies, bitcoin, ethereum, and other blockchain-based assets have become significant and compelling issues. One pa…