微博数据流的情绪感知研究

Jing Yang, Xinyu Liu, Yan Zhao
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引用次数: 0

摘要

本研究在已有微博数据流研究的基础上,对情感感知语料库进行了改进,并使用新的语料库进行情感感知计算。设计了微博情感感知的计算模型和算法,并考虑了微博的短文本。在此基础上,利用Java计算机语言在My Eclipse软件环境下编程,使算法得以实现。最后,通过对微博数据流的整理和计算,得到准确的微博情感曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Mood Perception of Microblog Data Flow
This study improve the corpus of emotional perception on the basis of existing research on the data flow of microblog, and use the new corpus to calculate the emotional perception. Design a model and an algorithm to calculating emotional perception of microblog, as well as considered to the short text of microblog. On this basis, use Java computer language programming in the My Eclipse software environment, so that the algorithm can be achieved. Finally, we can get an accurate emotional curve of microblog by collating and calculating the data flow of microblog.
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