Kalthuma007/omali-English-Sentiment-Analyzer

web app that performs sentiment analysis on Somali and English text. Built using Flask, Hugging Face transformers, TextBlob, and a simple Somali rule-based sentiment logic. # Somali-English Sentiment Analyzer A web app that performs sentiment analysis on Somali and English text. Built using Flask, Hugging Face transformers, TextBlob, and a simple Somali rule-based sentiment logic. --- ## Features - Detects the language of the input text (Somali or English). - Uses a pre-trained Hugging Face sentiment model for English text. - Applies a rule-based approach to analyze Somali sentiment. - Falls back to TextBlob for other languages. - Simple and lightweight Flask web interface. --- ## File Structure ``` somali_english_sentiment/ │ ├── app.py # Flask web app ├── sentiment_analyzer.py # Sentiment analysis logic ├── templates/ │ └── index.html # HTML interface ├── static/ │ └── style.css # Optional CSS styles ├── requirements.txt # Python dependencies └── README.md # Project documentation ``` --- ## Installation 1. Clone the repository: ```bash git clone github.com 2. Create and activate a virtual environment: ```bash python3 -m venv venv source venv/bin/activate # For Mac/Linux # For Windows: venv\Scripts\activate ``` 3. Install required packages: ```bash pip install -r requirements.txt ``` --- ## Usage Run the Flask app: ```bash python app.py ``` Open your browser and go to: 127.0.0.1 Enter Somali or English text, then click **Analyze Sentiment** to see the result. --- ## Somali Sentiment Logic The Somali sentiment analyzer uses a list of positive and negative keywords: - **Positive**: wanaagsan, fiican, farxad, mahadsanid, ku guulaysaty - **Negative**: xun, nacayb, murugo, cadho, doqon, foolxun, fulayad, dhacday, guuldaraysatay --- ## Notes - The English sentiment analysis uses Hugging Face’s `distilbert-base-uncased-finetuned-sst-2-english` model. - The app falls back to TextBlob sentiment if the language is not Somali or English. - For production deployment, consider setting up a product …