How does Afrikaans Text Summarizer work?
- Natural Language Processing. Natural Language Processing (NLP) techniques are used to analyze and understand the semantics and structure of the Afrikaans text to create meaningful summaries.
- Machine Learning Algorithms. Machine learning algorithms are trained on vast amounts of Afrikaans text to improve the summarization quality by learning from patterns in the data.
- Keyword Extraction. This method identifies the most relevant keywords in the given text, which are then used to form the basis of the summary output.
- Text Classification. Text classification helps in categorizing content to generate summaries that are contextually relevant to the specified subject matter.