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Entity-level fine-grained sentiment analysis in the financial domain is a crucial subtask of sentiment analysis and currently faces numerous challenges. The primary challenge stems from the lack of high-quality and large-scale annotated corpora specifically designed for financial text sentiment analysis, which in turn limits the availability of data necessary for developing effective text processing techniques. Recent advancements in large language models (LLMs) have yielded remarkable performance in natural language processing tasks, primarily centered around language pattern matching. In this paper, we propose a novel and extensive Chinese fine-grained financial sentiment analysis dataset, FinChina SA, for enterprise early warning. We thoroughly evaluate and experiment with well-known existing open-source LLMs using our dataset. We firmly believe that our dataset will serve as a valuable resource to advance the exploration of real-world financial sentiment analysis tasks, which should be the focus of future research. The FinChina SA dataset is publicly available at https://github.com/YerayL/FinChina-SA, Comment: FinLLM Symposium at IJCAI 2023

Soil water content in a region is closely related to plant growth. Coal Mining subsidence gives rise to a change of soil property in Mao Wusu sand land.This study investigated the relationship between the soil water content and the subsidence region of Coal Mining. In different depth in the ground samples of the subsidence region were analyzed for the change of the soil water content in different sinkage. The soil water content of the control region each layer is significantly higher than that of the subsidence region. The soil moisture for1a is reduced from the surface to the bottom, and lower than the 2a and 3a. Affected by the soil freezing in winter, the soil water content each layer in the control area is higher than that in the subsidence area from the surface down to a 1m underground . The soil mass is gradually stabilized as time goes on, and soil moisture has a rising trend with depth. In summer soil water content of the control region is higher than that of the subsidence region from 0 to 65 centimetre; the subsidence region is higher than the control area from 65 to 100 centimetre, and the soil water content for1a is the highest in all Subsidence region .