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Implementation of Fuzzy C-Means algorithm and TF-IDF on English journal summary

机译:Fuzzy C-Means算法和TF-IDF在英文期刊摘要中的实现

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摘要

Text Summary is a process of distilling important information from various sources to produce a summary used by personal users or for certain works. Usually the method of summary is studied in language lesson, unfortunately the foreign language proficiency of Indonesian particularly on English is very low. Hence, to make summary of English texts will be difficult and automatic summary tool is needed. The application is able to summarize a text by input the file text in pdf format. Furthermore, to make us sure how important sentences in a document Weighting every single sentence will be as the best way. Weighting is used by TF-IDF method. Fuzzy C Means Method is used in Weighting resulting sentences is divided into two groups; first, important groups (High Sentence Weight) and second, unimportant groups (Low Sentence Weight).
机译:文本摘要是从各种来源中提取重要信息以产生供个人用户或用于某些作品的摘要的过程。通常,总结方法是在语言课中学习的,不幸的是印尼语的外语水平特别是英语水平很低。因此,要对英文文本进行摘要将很困难,因此需要自动摘要工具。该应用程序能够通过输入pdf格式的文件文本来汇总文本。此外,为确保文档中句子的重要性,将每个句子加权的最佳方法。加权通过TF-IDF方法使用。加权结果句采用模糊C均值法分为两组。首先是重要的群体(句子重度高),其次是不重要的群体(句子重度低)。

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