679190375/Sentiment-Analysis-for-Cameroonian-Pidgin-English

NLP-based sentiment analysis for Cameroonian Pidgin English text classification. ## 🗣️ Sentiment Analysis for Cameroonian Pidgin English This project builds a sentiment analysis model tailored for Cameroonian Pidgin English — a low-resource language widely spoken across Cameroon. ### 🔍 What's covered: - Text preprocessing for Pidgin English - Dataset collection and annotation - Feature extraction (TF-IDF / Word Embeddings) - Sentiment classification (Positive, Negative, Neutral) - Model evaluation and performance analysis ### 🌍 Why it matters: Cameroonian Pidgin English is underrepresented in NLP research. This project contributes toward bridging the gap for African low-resource languages. ### 🛠️ Tools Used: Python, NLTK, Scikit-learn, Pandas, Google Colab