Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Donghao, Wang, Zhaoxia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
by: Huang, Donghao, et al.
Published: (2026)
by: Huang, Donghao, et al.
Published: (2026)
Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)
by: Alshammari, Hulayyil, et al.
Published: (2025)
Output Length Effect on DeepSeek-R1's Safety in Forced Thinking
by: Li, Xuying, et al.
Published: (2025)
by: Li, Xuying, et al.
Published: (2025)
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
DeepSeek-V3 Technical Report
by: DeepSeek-AI, et al.
Published: (2024)
by: DeepSeek-AI, et al.
Published: (2024)
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
by: DeepSeek-AI, et al.
Published: (2025)
by: DeepSeek-AI, et al.
Published: (2025)
Mixture of Tunable Experts -- Behavior Modification of DeepSeek-R1 at Inference Time
by: Dahlke, Robert, et al.
Published: (2025)
by: Dahlke, Robert, et al.
Published: (2025)
A Comparison of DeepSeek and Other LLMs
by: Gao, Tianchen, et al.
Published: (2025)
by: Gao, Tianchen, et al.
Published: (2025)
Safety Evaluation of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)
by: Zhang, Wenjing, et al.
Published: (2025)
Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts
by: Zhang, Wenjing, et al.
Published: (2025)
by: Zhang, Wenjing, et al.
Published: (2025)
An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)
by: Zhang, Jue, et al.
Published: (2025)
DeepSeek performs better than other Large Language Models in Dental Cases
by: Zhang, Hexian, et al.
Published: (2025)
by: Zhang, Hexian, et al.
Published: (2025)
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
by: Parmar, Manojkumar, et al.
Published: (2025)
by: Parmar, Manojkumar, et al.
Published: (2025)
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
by: DeepSeek-AI, et al.
Published: (2024)
by: DeepSeek-AI, et al.
Published: (2024)
Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering
by: Maiti, Aniruddha, et al.
Published: (2025)
by: Maiti, Aniruddha, et al.
Published: (2025)
Arabic Sentiment Analysis with Noisy Deep Explainable Model
by: Atabuzzaman, Md., et al.
Published: (2023)
by: Atabuzzaman, Md., et al.
Published: (2023)
LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions
by: Gupta, Gaurav Kumar, et al.
Published: (2025)
by: Gupta, Gaurav Kumar, et al.
Published: (2025)
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
by: DeepSeek-AI, et al.
Published: (2024)
by: DeepSeek-AI, et al.
Published: (2024)
DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition
by: Ren, Z. Z., et al.
Published: (2025)
by: Ren, Z. Z., et al.
Published: (2025)
Comparative Evaluation of ChatGPT and DeepSeek Across Key NLP Tasks: Strengths, Weaknesses, and Domain-Specific Performance
by: Etaiwi, Wael, et al.
Published: (2025)
by: Etaiwi, Wael, et al.
Published: (2025)
Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
by: Qiu, Peiran, et al.
Published: (2025)
by: Qiu, Peiran, et al.
Published: (2025)
An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
by: Sands, Brendan, et al.
Published: (2025)
by: Sands, Brendan, et al.
Published: (2025)
Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation
by: Rasool, Abdur, et al.
Published: (2024)
by: Rasool, Abdur, et al.
Published: (2024)
Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models
by: Li, Rubing, et al.
Published: (2025)
by: Li, Rubing, et al.
Published: (2025)
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
by: Ji, Tao, et al.
Published: (2025)
by: Ji, Tao, et al.
Published: (2025)
DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models
by: Ye, Jiancheng, et al.
Published: (2025)
by: Ye, Jiancheng, et al.
Published: (2025)
DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning
by: Xu, Pusheng, et al.
Published: (2025)
by: Xu, Pusheng, et al.
Published: (2025)
Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)
by: Sapkota, Ranjan, et al.
Published: (2025)
A comprehensive study of LLM-based argument classification: from Llama through DeepSeek to GPT-5.2
by: Pietroń, Marcin, et al.
Published: (2026)
by: Pietroń, Marcin, et al.
Published: (2026)
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
by: Wu, Zhiyu, et al.
Published: (2024)
by: Wu, Zhiyu, et al.
Published: (2024)
Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation
by: Majidi, Farideh, et al.
Published: (2025)
by: Majidi, Farideh, et al.
Published: (2025)
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
by: Xin, Huajian, et al.
Published: (2024)
by: Xin, Huajian, et al.
Published: (2024)
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
by: Bai, Yinhao, et al.
Published: (2024)
by: Bai, Yinhao, et al.
Published: (2024)
Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis
by: Jiang, Baoxing, et al.
Published: (2024)
by: Jiang, Baoxing, et al.
Published: (2024)
Quantitative Analysis of Performance Drop in DeepSeek Model Quantization
by: Zhao, Enbo, et al.
Published: (2025)
by: Zhao, Enbo, et al.
Published: (2025)
A Sentiment Analysis of Medical Text Based on Deep Learning
by: Chen, Yinan
Published: (2024)
by: Chen, Yinan
Published: (2024)
Advancing Aspect-Based Sentiment Analysis through Deep Learning Models
by: Li, Chen, et al.
Published: (2024)
by: Li, Chen, et al.
Published: (2024)
FloorPlan-DeepSeek (FPDS): A multimodal approach to floorplan generation using vector-based next room prediction
by: Yin, Jun, et al.
Published: (2025)
by: Yin, Jun, et al.
Published: (2025)
Similar Items
-
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
by: Huang, Donghao, et al.
Published: (2026) -
Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025) -
Output Length Effect on DeepSeek-R1's Safety in Forced Thinking
by: Li, Xuying, et al.
Published: (2025) -
RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability
by: Zhang, Yichi, et al.
Published: (2025) -
DeepSeek-V3 Technical Report
by: DeepSeek-AI, et al.
Published: (2024)