Sentiment-analysis of review text for micro-video

Zhengzheng Liu, Nan Yang, Sanxing Cao
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引用次数: 5

Abstract

With the rapid development of big data technology, the application of online micro video has been improved greatly. This paper provides a method of analyzing the sentiment of the review text for online micro video. By crawling, processing and analyzing of review text based on more than 20 domestic Internet video platforms, finally we get the sentimental value of each micro video by comprehensive evaluation. The algorithm is mainly contrast positive words and negative words contained in the text by the number, with the proportion of degree adverbs in the positive and negative evaluation and the degree value, finally come to sentiment value. The algorithm of sentiment-analysis described in this paper which based on the sentimental dictionary is proved to be effective.
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微视频评论文本的情感分析
随着大数据技术的飞速发展,网络微视频的应用得到了极大的提升。本文提供了一种分析网络微视频评论文本情感的方法。通过对基于国内20多个互联网视频平台的评论文本进行抓取、处理和分析,最终通过综合评价得出每个微视频的情感价值。该算法主要是对文本中包含的肯定词和否定词进行数量对比,结合程度副词在肯定和否定评价中的比例以及程度值,最终得出情感值。本文提出的基于情感词典的情感分析算法是有效的。
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