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The paper proposes S2TDR, a structured multimodal framework that converts sticker turns in dialogues into contextually appropriate text via visual cue extraction, affective-intent inference, and context-aware reconstruction, improving downstream sentiment analysis, intent recognition, and summarization over direct sticker integration.
PromptSense proposes a sentiment- and depression-aware framework that dynamically constructs prompts with a rule-based filtering mechanism to improve empathy, relevance, and safety in LLM-based mental health chatbots, outperforming DSFT and RLAIF in evaluations.
An analysis of 6,900 YouTube reviewer opinions and 3,567 Reddit owner opinions across 14 product categories finds owners mention reliability twice as often as reviewers (17% vs 7.8%), and are far more negative about apps and software.
该论文提出一种将情感分析深度融入Actor-Critic类深度强化学习智能体（A2C、PPO、DDPG、TD3、SAC）的股票交易策略，发现结合Q学习的策略优化方法在融合情感信息后能显著提升盈利与风险规避能力。
A paper reports a systematic gap in modern text embedders: sentiment is highly decodable via linear probes but nearly absent from their cosine-similarity metric, and proposes SISE, a tiny supervised-contrastive head that fixes this on frozen encoders.
We present NEPSEE, a Nepali sentiment analysis benchmark of 3,189 double-annotated Devanagari sentences, evaluating encoders, TF-IDF baselines and zero-shot LLMs, plus a tokenizer audit showing that default tokenizers of Nepali BERT models strip non-spacing Devanagari vowel signs and the virama.
BARRAC adapts an English aspect-based sentiment analysis framework to Arabic dialect classification tasks by substituting consumer-review attribute pools with Arabic linguistic devices for sarcasm, dialect, and sentiment, achieving 63.93% mean macro-F1 and outperforming GPT-4o on four of five benchmarks.
This paper evaluates how reliably sentiment concept directions extracted from language model representations reproduce across splits, comparing English, Hausa, and Yoruba over four language models. It finds consistent language rank order in direction agreement (English > Hausa > Yoruba) and shows that high probe classification accuracy does not imply directional consistency, though it does not establish tokenizer fertility as the cause.
The article reflects on the evolving sentiment of AI capabilities by examining past online discussions, highlighting how quickly perceptions have changed over time.
This paper examines how sentiment arcs in ECB and Fed press conferences predict policy rate changes and inflation expectations, showing that the sequencing of sentiment carries significant policy signals.
semfont is a library that automatically applies typographic styles to text based on word scores for valence, salience, surprise, and certainty to enhance readability.
This paper presents a cross-platform NLP analysis of 17,012 app store reviews for six major generative AI applications, identifying key trust and friction barriers like advertisements, authentication, and pricing, with significant sentiment variations across platforms.
This paper tests the assumption that sentiment tools validated against human labels also predict market signals in financial NLP, finding that benchmark agreement does not determine predictive effectiveness and spam influences volume-based analysis.
This paper critiques optimization-based balancing strategies for multimodal sentiment analysis, showing they fail due to conflating fitting speed with discriminative importance, and proposes a new research agenda focusing on held-out modality valuation.
A website aggregates public sentiment from X (Twitter) about the AI agent Devin developed by Cognition.
The paper presents C3T, a thread-structured temporal model for predicting sentiment shifts in social media conversation trees using counterfactual causal reasoning, and introduces the CaSiRe dataset for causal sentiment reasoning.
The article explores the concept of sentiment halflife in AI models, indicating a potentially significant insight into model longevity and performance degradation.
This paper presents the first application of data science to evaluate the UK Honours system using natural language processing, introducing a novel sentiment analysis algorithm called Minos to assess public opinion on honours recipients.
SocialCrawl is an API designed to help AI agents access live social and web data from various platforms. PRISM, a new set of endpoints, merges search results from multiple sources to support workflows like brand monitoring and sentiment analysis.
This paper conducts a multi-method computational analysis of Telegram discourse on the Israel-Palestine conflict, revealing that pro-Israel channels use a neutral, report-style tone while pro-Palestine channels exhibit more negative sentiment and framing.