omarhussein-Developer/Afaan-Oromo-Sentiment-AI

"An AI-powered Sentiment Analysis tool for Afaan Oromo, built using Python and Machine Learning (Scikit-learn) to classify text as positive or negative." # Afaan-Oromo-Sentiment-AI 🦁 Pirojeektiin kun miira (sentiment) barreeffama Afaan Oromoo xiinxaluuf kan ijaarame dha. Barreeffamni tokko "Gammachuu", "Gadda", yookiin "Giddu-galeessa" ta'uu isaa addaan baasa. ## 🚀 Kaayyoo - Afaan Oromoo gama NLP (Natural Language Processing) kanaan guddisuu. - Miira hawaasni karaa miidiyaa hawaasummaa ibsatu addaan baasuu. ## 🛠️ Tekinolojii Fayyadamne - **Afaan:** Python - **Libraries:** Scikit-learn, Pandas, NLTK - **Dataset:** Barreeffamoota miira adda addaa qaban ## 📝 Akkaataa Itti Fayyadaman 1. Repo kana `clone` godhadhu. 2. `requirements.txt` install godhadhu. 3. Script `main.py` jedhu irratti barreeffama kee galchi. ## 💪 Hirmaannaa Yoo pirojeektii kana fooyyessuu barbaadde, 'Pull Request' erguu dandeessa! # Afaan-Oromo-Sentiment-AI An AI-powered Sentiment Analysis tool for Afaan Oromo, built using Python and Machine Learning (Scikit-learn) to classify text into **Positive**, **Negative**, and **Neutral** sentiments. ## Afaan Oromo Sentiment Analysis AI 🦁 Pirojektichi kun meeshaa (tool) AI kan Python fayyadamuun barreeffama Afaan Oromoo qoratee, yaada (sentiment) isaa adda baasuudha: - **Gaarii (Positive)** - **Hamaa (Negative)** - **Giddu-galeessa (Neutral)** ## Features - Barreeffama Afaan Oromoo qorata - Sentiment sadii adda baasa: Positive, Negative, fi Neutral - Python fi Scikit-learn fayyadama - Bu’uura Machine Learning irratti hundaa’a - Barnoota fi qorannoo AI’f ni gargaara ## Requirements - Python 3.8+ - scikit-learn - pandas - numpy ## Installation Repo kana clone godhi: git clone github.com Gara folder seeni: cd Afaan-Oromo-Sentiment-AI Dependencies install godhi: pip install -r requirements.txt ## Akkaataa Itti Fayyadaman 1. Koodii `sentiment_analysis.py` fiigi: python sentiment_analysis.py 2. Barreeffama Afaan Oromoo galchi 3. Sirni kun bu’aa sentiment siif deebisa ## Example Input: