LinLidi/StockSensation
基于情感字典和机器学习的股市舆情情感分类可视化
This system helps individual investors and financial analysts understand public sentiment around specific stocks by analyzing discussions from financial forums. It takes stock forum titles as input and provides visualizations of sentiment trends, related keywords, and the stock's historical trading data. This is ideal for retail investors or financial enthusiasts who want to gauge market mood for a particular stock.
341 stars. No commits in the last 6 months.
Use this if you want to quickly see how online communities feel about a specific stock and view its historical trading performance in one place.
Not ideal if you need to analyze a broad range of stocks simultaneously or require sophisticated financial models beyond sentiment analysis.
Stars
341
Forks
115
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 24, 2019
Commits (30d)
0
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