Automatic text summarization using ANFIS

Fong, Jia Kang (2016) Automatic text summarization using ANFIS. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The information overload faced by today’s society has created a big challenge for people who want to look for relevant resources from the internet. Automatic text summarization is a field of soft- computing which can help humans in dealing with this abundance of information by extracting the main idea in the documents. This report attempts to compare the performance of the main technique proposed in this report, ANFIS with Neural Network and Fuzzy Logic. The main technique proposed in this report is ANFIS as it is the hybrid technique of Neural Network and Fuzzy Logic. There are many past researches on text summarization using Neural Network and Fuzzy Logic, but not many researches have been done using ANFIS on text summarization. Besides, there are limitations of Fuzzy Logic to be applied in text summarization. Fuzzy Logic requires human experts to create a set of fuzzy rules for the fuzzy inference system to work. As such, ANFIS is proposed as the main technique to be experimented on text summarization application to overcome the limitation of Fuzzy Logic.

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