text
📢 Two weeks ago I got a chance to share the most recent reasoning 🧠 capabilities of Large Language models in Sentiment Analysis NLPSummit-2024.
📢 Two weeks ago I got a chance to share the most recent reasoning 🧠 capabilities of Large Language models in Sentiment Analysis NLPSummit-2024.
new_line
new_line
text
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
new_line
link
https://www.youtube.com/watch?v=qawLJsRHzB4
https://www.youtube.com/watch?v=qawLJsRHzB4
new_line
new_line
text
You will be aware of:
You will be aware of:
new_line
text
☑️ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
☑️ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
new_line
text
☑️ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
☑️ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
new_line
text
☑️ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
☑️ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
new_line
new_line
text
Links:
Links:
new_line
text
📜 Paper: 
📜 Paper: 
resource
https://huggingface.co/papers/2404.12342
paper
2404.12342
https://huggingface.co/papers/2404.12342
Large Language Models in Targeted Sentiment Analysis (2404.12342)
new_line
text
⭐ Code: 
⭐ Code: 
link
https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
📢 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: https://huggingface.co/papers/2404.12342
⭐ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
👀
John6666
🧠
lab212
👍
sugatoray