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All Journal Journal of Applied Data Sciences
Taqwa Hariguna
Amikom Purwokerto University, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Survey Opinion using Sentiment Analysis Taqwa Hariguna; Husni Teja Sukmana; Jong Il Kim
Journal of Applied Data Sciences Vol 1, No 1: SEPTEMBER 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v1i1.10

Abstract

Sentiment analysis or opinion mining is a computational study of the opinions, judgments, attitudes, and emotions of a person towards an entity, individual, issue, event, topic, and attributes. This task is very challenging technically but very useful in practice. For example, a business always wants to seek opinion about its products and services from the public or the consumers. Additionally, potential consumers want to learn what users think they have when using a service or purchasing a product. To get public opinion on food habits, ad strategies, political trends, social issues and business policy, this is a very critical factor. This paper will explain a survey of key sentiment-extraction approaches.
Co-Authors Husni Teja Sukmana Jong Il Kim