ts-from-News-Headlines-using-Sentimental-Analysis
所属分类：大数据
开发工具：HTML
文件大小：862KB
下载次数：0
上传日期：2020-06-16 01:23:07
上 传 者：
sh-1993
说明： 使用情绪分析从新闻标题中提取股票情绪。在这个项目中，我通过对Finviz的金融新闻标题应用情绪分析来产生投资见解。
(Extracting-Stock-Sentiments-from-News-Headlines-using-Sentimental-Analysis,In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz.)
文件列表:
.ipynb_checkpoints (0, 2020-06-16)
.ipynb_checkpoints\notebook-checkpoint.ipynb (48058, 2020-06-16)
LICENSE (1073, 2020-06-16)
Screenshot 2020-06-13 at 4.29.09 AM.png (461907, 2020-06-16)
Screenshot 2020-06-13 at 4.29.31 AM.png (458973, 2020-06-16)
datasets (0, 2020-06-16)
datasets\fb_05ene.html (152427, 2020-06-16)
datasets\fb_22sep.html (153897, 2020-06-16)
datasets\tsla_05ene.html (120854, 2020-06-16)
datasets\tsla_22sep.html (115984, 2020-06-16)
datasets\tsla_26nov.html (118061, 2020-06-16)
finalplot.png (14060, 2020-06-16)
project_notebook.ipynb (50698, 2020-06-16)
project_python.py (11658, 2020-06-16)
sentiment.png (11569, 2020-06-16)
# Extracting Stock Sentiments from News Headlines using Sentimental Analysis
In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, I was able to understand the emotion behind the headlines and predict whether the market feels good or bad about a stock.
The datasets used in this project are raw HTML files for Facebook (FB) and Tesla (TSLA) stocks from FINVIZ.com, a popular website dedicated to stock information and news. Made a plot to visualize the positive, negative, and neutral scores for a single day of trading and single stock.
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