pchukwuemeka424 / Sentiment-Analysis-of-Nigerian-Election-TweetsLinks
Scrape Twitter data using Tweepy, preprocess using NLTK or spaCy, and apply sentiment classification using a pretrained transformer (e.g., BERT). Visualize sentiment polarity and volume over time, filtered by regions and keywords.
☆12Updated 2 months ago
Alternatives and similar repositories for Sentiment-Analysis-of-Nigerian-Election-Tweets
Users that are interested in Sentiment-Analysis-of-Nigerian-Election-Tweets are comparing it to the libraries listed below
Sorting:
- ☆18Updated this week
- ☆18Updated 2 months ago
- ☆13Updated last year
- Use Landsat imagery and spectral indices (e.g., SAVI, GNDVI) to detect oil spills across time. Implement unsupervised classification and …☆17Updated 2 months ago
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆17Updated 2 months ago
- A web application that enables users to dictate notes via voice and save them locally. Use the Web Speech API and JavaScript localStorage…☆18Updated 2 months ago
- Object detection model to identify and classify waste dump sites in urban areas.☆10Updated 2 months ago
- Develop a frontend JavaScript tool that checks password complexity, entropy, and compliance with best practices. Use zxcvbn.js or a custo…☆12Updated 2 months ago
- Create a simulated ransomware that encrypts user files and displays a decryption notice (for learning and training only). Demonstrates en…☆17Updated 2 months ago
- Analyze telecom customer data to predict churn. Implement preprocessing pipelines, feature engineering, and classification algorithms (Lo…☆12Updated 2 months ago
- A desktop app for hospital operations including patient registration, billing, appointment scheduling, and report generation. Uses SQLite…☆12Updated 2 months ago
- Use ARIMA, SARIMA, and Facebook Prophet to forecast inflation trends and food price changes in Nigeria. Include seasonal decomposition, r…☆12Updated 2 months ago
- ☆17Updated 2 months ago
- Use the Elastic Stack to ingest and visualize logs. Apply machine learning for anomaly detection using unsupervised learning or Kibana al…☆17Updated 2 months ago
- Aggregate data from APIs like VirusTotal, AlienVault OTX, and display Indicators of Compromise (IOCs), threat scores, and attack campaign…☆17Updated 2 months ago
- Monitor SSH logs to detect brute-force attempts, log offenders, and auto-ban them using iptables or Fail2Ban integration.☆17Updated 2 months ago
- Capture and decode network traffic using Python’s Scapy library. Analyze for DNS tunneling, suspicious packets, or malware indicators.☆17Updated 2 months ago
- ☆12Updated 2 months ago
- Build a chatbot that answers user queries in a specialized domain (e.g., health, law, or climate change). Uses OpenAI’s GPT API and is de…☆17Updated 2 months ago
- Develop a customizable portfolio with a markdown-powered CMS for blogs and projects. Includes SEO, dark mode toggle, and deployment on Ve…☆18Updated 2 months ago
- Track prices of BTC, ETH, etc., and send alerts when price thresholds are crossed. Implement using CoinGecko API and Python-Telegram-Bot.☆17Updated 2 months ago
- Build a convolutional neural network (CNN) to classify chest X-ray images into pneumonia and normal categories. Train the model using the…☆18Updated 2 months ago
- ☆12Updated 6 months ago
- A weather application displaying current and forecasted weather with an interactive map interface. Includes location search and dynamic w…☆17Updated 2 months ago
- Add OTP-based two-factor authentication to a user login system using Flask or Django. Send codes via Twilio or email.☆16Updated 2 months ago
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆12Updated 5 months ago
- Use water sample data (e.g., pH, TDS, EC) to predict WQI and contamination clustering using Principal Component Analysis (PCA) and k-Mean…☆18Updated 2 months ago
- Train regression models to predict yields (e.g., maize or cassava) using rainfall, temperature, and soil pH as features. Use SHAP or LIME…☆17Updated 2 months ago
- uild a purposely vulnerable web app that teaches SQL injection, then show how to patch vulnerabilities using ORM and prepared statements.☆16Updated 2 months ago
- Implement a facial recognition system that detects and classifies emotions (happy, sad, angry, etc.) in real time using OpenCV and CNNs. …☆17Updated 2 months ago