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A new approach of firefly algorithm for optimizing reviews of opinion mining

机译:萤火虫算法优化意见挖掘评论的新方法

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摘要

Opinions about the data has been an important part of analyzing the opinions and sentiments. The sentiment analysis is a major part of data mining that has important applications in various fields. The novice customers get into any field by only getting reviews from the various websites or reviewers. The reviews are not necessarily correct all the time. So, we need to first analyze them and then put the things into place. The stock market analysis is an application of sentiment analysis where the stock reviews are taken and firefly algorithm is applied to optimize the results whether they are in favor or not. The results generated are better in every effectiveness measure calculated i.e. precision, recall, accuracy.
机译:关于数据的意见一直是分析意见和情感的重要部分。情感分析是数据挖掘的重要部分,在各个领域都有重要的应用。新手客户仅从各个网站或审阅者那里获得评论即可进入任何领域。评论不一定总是正确的。因此,我们需要首先对其进行分析,然后将其放置到位。股市分析是情感分析的一种应用,其中进行了股票评论,并且使用萤火虫算法来优化结果(无论是否赞成)。所产生的结果在计算出的每个有效性度量(即精度,召回率,准确性)中都更好。

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