An extractive Text Summarization model for Indonesian Text based on Text summarization using topic-based vector space model and semantic measure paper
On the original paper, WordNET was used to compute the semantic similarity between word. In this model, WordNET are being replaced by Vector Space Model and Similarity Measure because there weren't any WordNET model for Indonesian language.
This model was created and used in research to qualify for a Bachelor of Computer Science in Faculty of Computer Science, University of Indonesia