_Project-Financial_Market_News_Sentiment_Analysis
所属分类：金融证券系统
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2024-03-08 20:32:10
上 传 者：
sh-1993
说明： 在这个数据科学项目中，我们专注于金融市场新闻情绪分析。在这个知识库中，我们深入研究了应用于金融市场新闻的情绪分析这一令人兴奋的领域，旨在为投资者和分析师一样提取有价值的见解。
(In this Data Science project, we focus on Financial Market News Sentiment Analysis. In this repository, we delve into the exciting realm of sentiment analysis applied to financial market news, aiming to extract valuable insights for investors and analysts alike.)
文件列表:
Akhya_Financial_Market_News_Sentiment_Analysis.ipynb
Financial Market News.csv
# Financial Market News Sentiment Analysis
## Overview
In this project, we delve into the realm of data science by exploring the sentiment behind financial market news. Understanding the sentiment of news articles related to financial markets can provide valuable insights for investors, traders, and analysts. By analyzing news sentiment, we aim to uncover patterns, sentiments, and trends that may impact financial markets.
## Objective
The primary objective of this project is to develop a model that can accurately analyze the sentiment of financial market news articles. By leveraging natural language processing (NLP) techniques and machine learning algorithms, we seek to classify news articles into positive, negative, or neutral sentiments. Additionally, we aim to provide visualizations and insights to aid in understanding the sentiment trends over time.
## Key Features
- Sentiment Analysis: Utilizing NLP techniques to classify the sentiment of financial market news articles.
- Machine Learning: Employing machine learning algorithms such as classification models to predict sentiment.
- Data Visualization: Generating visualizations to present sentiment trends and patterns.
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