Automatic text summarization based on semantic analysis approach for documents in Indonesian language

Research about text summarization has been quite an interesting topic over the years, proven by numerous number of papers related with discussion of their studies such as approaches, challenges and trends. This paper's goal is to define a measurement for text summarization using Semantic Analysis Approach for Documents in Indonesian language. The applied measurement requires Indonesian version of WordNet which had been implemented roughly. The main idea of semantic analysis is to obtain the similarity between sentences by calculating the vector values of each sentence with the title. The need ofWordNet is to define the depth of each word as being computed for word similarity. Combining all required formulas and calculations, a compact and precise summarization is produced without depriving the gist information of certain document.