How does Sesotho Text Summarizer work?
- Natural Language Processing. Utilizes algorithms to understand and process Sesotho language texts, extracting relevant information.
- Machine Learning. Applies machine learning models to improve summarization accuracy, learning from user feedback and data patterns.
- Text Rank Algorithm. Employs a text ranking algorithm to prioritize the most significant sentences and phrases from the source text.
- Entity Recognition. Identifies key entities in the text, such as names and locations, to ensure important information is included in the summary.
