Dogiye12 / Weather-Report-Sentiment-AnalyzerLinks
A natural language processing project that classifies weather report text sentiment as positive, neutral, or negative, helping analyze emotional tone in forecasts for media, research, and communication improvement.
☆15Updated 3 weeks ago
Alternatives and similar repositories for Weather-Report-Sentiment-Analyzer
Users that are interested in Weather-Report-Sentiment-Analyzer are comparing it to the libraries listed below
Sorting:
- This project creates an interactive heatmap to visualize CO₂ emissions from power plants using geospatial data. It helps identify high-em…☆15Updated 2 months ago
- 3D modeling (Cesium.js or Blender) showing projected sea level rise on coastal cities.☆14Updated 3 months ago
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆13Updated 2 weeks ago
- Based on slope, rainfall, land use, and NDVI data.☆13Updated 3 months ago
- The Citizen Complaint Categorization in Environmental Agencies" project generates synthetic environmental complaint data and trains a mac…☆14Updated 3 weeks ago
- RF/XGBoost model trained on morphometric, rainfall, and DEM data☆13Updated 3 months ago
- A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, …☆14Updated this week
- Time-series flood map generator using Sentinel-1 and GEE scripting.☆16Updated 3 weeks ago
- ummarize long climate science papers into actionable briefs using NLP.☆13Updated 3 months ago
- Predict WQI using lab data and ML regression models (e.g., ANN, RF).☆13Updated 3 months ago
- Heavy-Metal-Prediction-in-Groundwater generates synthetic groundwater quality data and applies machine learning to predict heavy metal co…☆13Updated last week
- This project uses synthetic environmental data and AI to track progress toward Sustainable Development Goals (SDGs). It computes a compos…☆15Updated 3 weeks ago
- ML classifier for detecting stressed crops using spectral signature data.☆13Updated 3 months ago
- Train a U-Net model for oil spill segmentation using Sentinel-1 imagery.☆14Updated 3 months ago
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆15Updated 3 weeks ago
- NLP model analyzing climate policy documents for actionability and effectiveness.☆13Updated 3 months ago
- This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal loggin…☆15Updated 3 weeks ago
- ML/NLP system for flagging misleading content on climate topics.☆13Updated 3 months ago
- SVM/Random Forest classification using vegetation indices (NDVI, ARVI, etc.).☆15Updated last week
- This project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning mode…☆15Updated 2 months ago
- Forecast AQI using LSTM/GRU models on PM2.5, NOx, CO data.☆14Updated 3 months ago
- ☆12Updated 3 months ago
- ☆13Updated 3 months ago
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆15Updated 3 months ago
- This project automates river network extraction from satellite imagery using deep learning. It employs a U-Net architecture for precise s…☆15Updated 2 months ago
- Scrape and display tech and cybersecurity news headlines in real time using NewsAPI. Allow user-selected topics and push notifications.☆18Updated 3 months ago
- This project generates captions for synthetic satellite imagery using machine learning, describing environmental features such as vegetat…☆13Updated 2 weeks ago
- ☆12Updated 3 months ago
- ☆13Updated 3 months ago
- ☆13Updated 3 months ago