2017 · 14 citations · 7 references
EngineeringEntity SummarizationEnglish Journal SummaryFuzzy C-means AlgorithmCorpus LinguisticsText MiningAutomatic SummarizationNatural Language ProcessingLanguage DocumentationInformation RetrievalData ScienceData MiningText SummarizationText SummaryComputational LinguisticsLanguage LessonLanguage StudiesContent AnalysisFuzzy Pattern RecognitionAbstract AnalysisFuzzy LogicFuzzy ComputingFile TextFuzzy MathematicsKeyword ExtractionText ProcessingFuzzy ClusteringLinguistics
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).
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Document clustering: TF-IDF approach
Prafulla Bafna, Dhanya Pramod, Anagha Vaidya · 2016 · 250 citations