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financial-news

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NLP-FinHeadlines-MoodTracker is a NLP project utilising sentiment analysis on financial news headlines. It employs a combination of CNN and LSTM layers to predict sentiment (positive, negative, neutral). The model incorporates an embedding layer, 1D convolution, max pooling, bidirectional LSTM, dropout, and dense layer for sentiment classification.

  • Updated Jul 14, 2023
  • Jupyter Notebook

Deep Learning-Based Financial Sentiment Analysis (DLBFSA) is a deep learning algorithm that analyzes financial news and social media to gauge market sentiment and make informed trading decisions.

  • Updated Sep 5, 2024
  • Python

Explore the world of global currencies with our Currency Converter web application 🌍. Powered by HTML, CSS, and JavaScript πŸš€, alongside the OpenExchange API for real-time exchange rates πŸ’± and the NewsAPI for market updates πŸ“°, this intuitive tool allows seamless currency conversions and keeps you informed with the latest financial news πŸ“ˆ.

  • Updated Jul 12, 2024
  • JavaScript

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