The study on keywords frequency composite function of public opinion toward Macau's gambling industry: Using the Fruit Fly Optimization Algorithm

Shianghau Wu, Yong-dong Shi
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引用次数: 3

Abstract

This study at first used the text mining method to analyze the keywords of the Chinese news reports related to Macan's gambling industry from June to September 2012. The study got 19 major keywords at the first step. In order to comprehend the influence of each keyword in each document, the study applied the Fruit Fly Optimization Algorithm to evaluate the Keywords Frequency Composite Function. The contributions of the study included the following two points: First, the study applied the text mining method to get the 19 major keywords and found the public opinion focus during the time frame. Second, the study found the Fruit Fly Optimization Algorithm as a useful tool to evaluate the Keywords Frequency Composite Function.
澳门博彩业舆论关键词频率复合函数研究——基于果蝇优化算法
本研究首先采用文本挖掘的方法,对2012年6 - 9月澳门博彩业相关中文新闻报道的关键词进行分析。该研究在第一步获得了19个主要关键词。为了了解每个文档中每个关键词的影响,本研究采用果蝇优化算法对关键词频率复合函数进行评价。本研究的贡献包括以下两点:第一,本研究运用文本挖掘方法得到了19个主要关键词,并找到了时间框架内的舆论焦点。其次,研究发现果蝇优化算法是评价关键词频率复合函数的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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