Sentiment Analysis Using Context Based Fuzzy Linguistic Hedges

Furqan, Mhd. and Hartono, Hartono and Abdullah, Dahlan and Hartama, Dedy and Roslina, Roslina and Zarlis, Muhammad and Situmorang, Zakarias (2016) Sentiment Analysis Using Context Based Fuzzy Linguistic Hedges. In: Proceeding International Conference of Computer, Environment, Social Science, Engineering and Technology (ICEST). Universitas Sumatera Utara, Medan, pp. 160-162. ISBN 979 458 877 6

Preview	Text SENTIMENT ANALYSIS USING CONTEXT BASED FUZZY LINGUISTIC HEDGES.pdf Download (725kB) | Preview
Preview	Text 13. Sentiment Analysis Using Context Based Fuzzy Linguistic Hedges.pdf Download (409kB) | Preview
Preview	Text ICEST 2016-1.pdf Download (1MB) | Preview

Abstract

Sentiment analysis refers to the inference of people’s views, positions and attitudes in their written or spoken te ts. We Present Context Based Fuzzy Linguistic Hedges, a novel approach for sentiment analysis which has proven effective both for regular texts and texts with a high degree of noise. We have proposed novel function that emulate the effect of different linguistic hedges by using fuzzy function and incorporated them in the sentiment classification task. Our paper using SentiWordNet Tool for determining the initial sentiment value.

Jenis Item:	Bagian dari buku
Subjects:	000 Generalities > 005 Computer programming, programs, data
Divisions:	Fakultas Sains dan Teknologi > Ilmu Komputer
Pengguna yang mendeposit:	Mrs Hildayati Raudah
Date Deposited:	22 Jun 2020 08:37
Last Modified:	30 Jun 2020 08:53
URI:	http://repository.uinsu.ac.id/id/eprint/8929

Actions (login required)

View Item