Sentiment Analysis


Sentiment analysis is the process of determining the sentiment of a piece of text, such as a tweet or a review.

DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis

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Apr 15, 2025
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Tales of the 2025 Los Angeles Fire: Hotwash for Public Health Concerns in Reddit via LLM-Enhanced Topic Modeling

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May 14, 2025
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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models

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Apr 18, 2025
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Unravelling Technical debt topics through Time, Programming Languages and Repository

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Apr 16, 2025
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Bitcoin's Edge: Embedded Sentiment in Blockchain Transactional Data

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Apr 18, 2025
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Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation

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Apr 18, 2025
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An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

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Apr 06, 2025
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IberBench: LLM Evaluation on Iberian Languages

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Apr 23, 2025
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On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis

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Apr 08, 2025
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Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images

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Apr 14, 2025
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