tomeliud/Natural-Language-Processings-NLP-on-Swahili-News-Classification-

Develop a multi-class classification model to classify news content according to their specific categories i.e. Kimataifa News (International), Kitaifa news (National), Burudani News (Entertainment), Michezo News (Sports), and Biashara News (Biashara). # Natural-Language-Processings-NLP-on-Swahili-News-Classification- Develop a multi-class classification model to classify news content according to their specific categories i.e. Kimataifa News (International), Kitaifa news (National), Burudani News (Entertainment), Michezo News (Sports), and Biashara News (Biashara). # Question To develop a multi-class classification machiene learning model to classify news content according to their specific categories with an accuracy of 80% and above # Methodology Understanding features and target variables Data Cleaning WordCloud Label Encoding Word Embedding Building Models Validation Conclusion # Algorithims Random Forest KNeighbors Classifier Multinomial Naive Bayes BOW + Xgboost Model Multilayer Perception Classifier # Setup and Installation Colab # Know bugs None # Technologies Used Python # Contact For question, correction tomeliud500@gmail.com # Licences MIT licence