基于支持向量机和朴素贝叶斯分类的ICON飞机日志情感分析

Harshit Sinha, Rahul Bagga, G. Raj
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引用次数: 4

摘要

对社交网站的内容,特别是用户的帖子或观点进行了更多的检查;他们的情绪分析必须完成。主要目的是分析情绪,然后将这些观点与主要话题和其他平台进行比较。社交网站上有大量的用户帖子。但是有些人想知道这些职位之间的影响和关系。许多研究人员发现了这些社交网站上帖子的影响。但是,如果不了解这些帖子的情绪,我们就无法发现这些帖子的影响。在这里,我们讨论了情感分析的各种方法。在线评论对于开发者改进产品和在市场上竞争非常重要。有几个维度可以帮助我们了解网站上评论的情绪。这些分析也被用来发现一些模式并得出结论。因此,我们可以找到职位的有利和不利的部分。分析这些评论很重要,但很少有技术可以确定评论的情绪。例如,有人给出了从各种评论中了解多维评级的方法。从互联网上基于不同领域的大量评论中,了解人们的不同情绪是非常重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of ICON aircraft log through sentiment analysis using SVM and Naive Bayes classification
A more of work has been made to check the content of the social websites, especially the posts or the views of the users; their sentiment analysis has to be done. The main aim is to analyze the sentiments and then to compare those views with the main topics and other platforms. There are enormous amount of the posts given by the users on the social websites. But some of the people are interested in knowing the influence and the relations among those posts. Many of the researchers find the influence of the post on these social websites. But, we cannot find the influence of these posts without knowing the sentiments of the posts. Here we have discussed various methodologies for the sentiment analysis. Online reviews are important for the developers to improve their products and can compete in the market properly. There are several dimensions which help us to know the sentiment of the reviews on the websites. These analyses are also used to find some patterns and draw the conclusions. Hence we can find the favorable and as well as unfavorable parts of the posts. These reviews are important to analyze but there are a very few techniques to determine the sentiment of the reviews [2]. For example, one has given the approach to know the multidimensional rating from various reviews. From the vast amount of reviews on the internet based on different areas, it is very important to know about the different sentiments of the people.
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