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挖掘历史政经新闻数据的价值(探索中) Unlocking the Value of Historical Political and Economic News Data (Exploring)

BlogType : Website releaseTime : 2024-12-07 17:00:00

在利用爬虫收集了一段时间的政经新闻数据后,目前正研究利用GPT等大模型工具发现其中价值并进行预测的可能 After using web crawlers to collect political and economic news data for a period of time, I am now exploring the potential of leveraging tools like GPT and other large models to uncover value and make predictions

背景 Background

目前本网站AI日报已经利用爬虫收集了一段时间的政经新闻数据,但如果只将其当作日报来看,数据只有一次性的价值;

Currently, this website's AI Daily has been using web crawlers to collect political and economic news data for a while. However, if the data is only treated as daily reports, its value is limited to a one-time use.

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我感觉这样有点浪费,于是考虑,能否将这些历史数据进行二次加工,做成数据资产,再次使用AI做出一些有价值的关联分析和预测

I feel this is somewhat wasteful, so I started considering whether these historical datasets could be repurposed into data assets and reused with AI to perform valuable correlation analyses and predictions.


目前还只是一个初步探索,我先把可能的想法进行收集

This is still in the early exploratory stages, and I am beginning by gathering potential ideas:




想法 Thoughts

  • 实时新闻与政策解读:对于当前的政治经济新闻,系统通过理解新闻内容并关联历史事件,提供详尽的解释和背景信息。

  • 地缘政治、宏观经济预测:利用AI根据近期相关热点数据,对地缘政治重要内容(如中美关系紧张度、俄乌战争变化、中东局势动态、美国政策左右方向等)进行评估和打分,作为相关判断依据,亦或生成报告

  • 提供专题客服Q&A服务

  • Real-time News and Policy Interpretation: For current political and economic news, the system could understand the content and link it to historical events, providing detailed explanations and background information.

  • Geopolitical and Macroeconomic Predictions: Using AI to analyze recent relevant hotspot data to evaluate and score major geopolitical topics (such as the intensity of U.S.-China tensions, changes in the Russia-Ukraine conflict, dynamics in the Middle East, and the directional shifts of U.S. policies). These evaluations can serve as a basis for relevant judgments or be used to generate reports.

  • Specialized Q&A Services: Providing topic-specific Q&A services, among other features.