Post
1004
📢 Two weeks ago I got a chance to share the most recent reasoning 🧠 capabilities of Large Language models in Sentiment Analysis NLPSummit-2024.
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
https://www.youtube.com/watch?v=qawLJsRHzB4
You will be aware of:
☑️ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
☑️ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
☑️ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
Links:
📜 Paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)
⭐ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
https://www.youtube.com/watch?v=qawLJsRHzB4
You will be aware of:
☑️ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
☑️ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
☑️ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
Links:
📜 Paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)
⭐ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework