考虑副词极性的情感分析推荐系统

2016 IEEE International Symposium on Consumer Electronics (ISCE) Pub Date : 2016-09-01 DOI:10.1109/ISCE.2016.7797377

R. Guimarães, D. Z. Rodríguez, R. L. Rosa, G. Bressan

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引用次数: 29

摘要

本文提出了一种基于情感分析的社交网络句子推荐系统，该系统考虑了一种依赖于句子中发现的副词的算法。此外，推荐系统的复杂性较低，因此对电子设备能耗分析的感知影响几乎可以忽略不计。

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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Recommendation system using sentiment analysis considering the polarity of the adverb

This paper presents a recommendation system based on sentiment analysis of sentences extracted from Social Networks considering an algorithm which depends on the adverb found in the sentence. Furthermore, the recommendation system has a low complexity, therefore the perceived impacts on the analysis of energy consumption on electronic devices is almost negligible.

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来源期刊

2016 IEEE International Symposium on Consumer Electronics (ISCE)

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