Deep Learning-Based Financial Sentiment Analysis (DLBFSA)

Description

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.

Offering

This project is available for purchase. For inquiries regarding pricing and licensing, please contact us at quantascript@gmail.com.

Mathematical Equations

1. Embedding: Transforming words into vectors

   embedding ( w ) = V w ∈ R d

2. LSTM Unit: Calculating hidden state

   h t = σ ( W h · x t + U h · h t-1 + b h )

3. Output Layer: Sigmoid activation

   y = σ ( W y · h + b y )

Installation

To use DLBFSA, you'll need to install the following dependencies:

• numpy
• pandas
• tensorflow
• scikit-learn

You can install them using pip:

pip install numpy pandas tensorflow scikit-learn

Usage

1. Clone the repository:

   git clone https://github.com/QuantaScriptor/Deep-Learning-Based-Financial-Sentiment-Analysis-DLBFSA.git

2. Navigate to the project directory:

   cd Deep-Learning-Based-Financial-Sentiment-Analysis-DLBFSA

3. Run the script:

   python dlbfsa.py

License

This project is licensed under the GNU Affero General Public License v3.0. See the LICENSE file for details.