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Climate Sentiment Analysis (NLP)

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About this project

Problem:
Organizations need insights into public sentiment on climate change policies.

Solution:
Developed an NLP-based sentiment analysis model to classify public opinion on environmental topics.

Impact:

  • Provided actionable insights for environmental decision-making
  • Enabled large-scale analysis of textual data

Tech Stack:
Python, NLP, Scikit-learn, TensorFlow

Key Highlights:

  • Applied text preprocessing and vectorization techniques
  • Built and evaluated classification models
  • Extracted insights from unstructured data