1 School of Cyber Science and Engineering, Southeast University, Nanjing, China 2 School of Electronic Engineering and Optical Technology, Nanjing University of Science and Technology, Nanjing, China ...
Method: LoRA (Low-Rank Adaptation) LoRA Rank (r): 16 LoRA Alpha: 32 LoRA Dropout: 0.05 Target Modules: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj Task Type: CAUSAL_LM ### Model ...
Abstract: Sentiment analysis of social media platforms is crucial for extracting actionable insights from unstructured textual data. However, modern sentiment analysis models using deep learning lack ...
A fresh inflation reading a day earlier showed an uptick in price increases. Consumer sentiment dampened in September, extending a decline from the previous month as government data showed a hiring ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
HM Business School, Hochschule München University of Applied Sciences, Munich, Germany Characterized by high volatility the energy stock market provides ample research potential for stock market ...
When it comes to data, marketers have focused primarily on the quality of the structured data in their CRM and marketing automation platforms over the past 15 years. In my March article, I discussed ...
In its latest earnings report, Walmart said that it would begin to increase prices on products because of tariffs. WSJ’s Sarah Nassauer explains why Walmart’s retail strategy matters and how it will ...
Abstract: In recent years, sentiment analysis based on deep learning and the fusion of multimodal data has become a research focus in the field of natural language processing (NLP). However, previous ...
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