Automatic text summarization based on semantic analysis approach for documents in Bahasa Indonesia
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. Most of all research in this area still uses English- language documents as their research object. Unfortunately, Indonesian-language documents haven?t been popular research objects for automatic text summarization field. Thus, semantic analysis is one of a well-known potential method in many fields in Information Technology for being implemented and studied. Therefore, this research's goal is to define a proposed measurement for text summarization using Semantic Analysis Approach for documents in Indonesian Language. The main idea of semantic analysis is to obtain the similarity between sentences value by calculating the vector values of each sentence with the title. The applied measurement required Indonesian version of WordNet which has been implemented roughly in a limited time. The need of WordNet is to define the depth of each word as being computed for word similarity. Combined all the formulas and calculations, a compact and precise summarization is produced without depriving the gist information of certain document.
B01370 | (wh) | Available |
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