Simple Text Mining for Sentiment Analysis of Political Figure Using Naive Bayes Classifier Method

08/21/2015
by   Yustinus Eko Soelistio, et al.
0

Text mining can be applied to many fields. One of the application is using text mining in digital newspaper to do politic sentiment analysis. In this paper sentiment analysis is applied to get information from digital news articles about its positive or negative sentiment regarding particular politician. This paper suggests a simple model to analyze digital newspaper sentiment polarity using naive Bayes classifier method. The model uses a set of initial data to begin with which will be updated when new information appears. The model showed promising result when tested and can be implemented to some other sentiment analysis problems.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

06/03/2018

Psychological State in Text: A Limitation of Sentiment Analysis

Starting with the idea that sentiment analysis models should be able to ...
11/03/2019

Sentiment analysis model for Twitter data in Polish language

Text mining analysis of tweets gathered during Polish presidential elect...
10/30/2018

Topic-Specific Sentiment Analysis Can Help Identify Political Ideology

Ideological leanings of an individual can often be gauged by the sentime...
06/02/2021

Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text

Understanding who blames or supports whom in news text is a critical res...
06/03/2021

A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis

Sentiment analysis is a text mining task that determines the polarity of...
08/05/2021

Sentiment Analysis on the News to Improve Mental Health

The popularization of the internet created a revitalized digital media. ...
03/29/2017

Sentiment Recognition in Egocentric Photostreams

Lifelogging is a process of collecting rich source of information about ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.