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April 2024 – June 2024

Gold Price Prediction Using Machine Learning Models & NLP

Historical price models combined with news sentiment for sharper forecasts.

Overview

This project predicts gold prices using machine learning models and integrates news sentiment analysis through NLP. By combining historical price data and news sentiment, the model provides more accurate predictions.

Features

  • Historical price analysis using ML models: Linear Regression, Bi-LSTM, LSTM, RNN, CNN, GRU
  • Sentiment analysis with NLP to capture market sentiment from news articles
  • Multi-model approach to compare the performance of various models

Publication

Published as 'Deep Learning and Natural Language Processing Integrated Gold Price Forecasting' — IATMSI, IEEE IIIT Gwalior 3rd International Conference, 2025.

Tech stack

PythonScikit-learnTensorFlowKerasNLTKSpaCyMatplotlibSeabornJupyter Notebooks

Tagged

Deep LearningNLPTime SeriesLSTMGRU
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