Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Simple Text Mining for Sentiment Analysis of Political Figure Using
  Naive Bayes Classifier Method   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.

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The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
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The categories of this paper are: nucl-ex
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The categories of this paper are: funct-an
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The categories of this paper are: q-bio
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex