Abstract
In this paper, we combine the traditional analysis method based on sentiment dictionary and two kinds of text sentiment based on semantic pattern. We then propose an improved text sentiment analysis technology, including constructing an emotional dictionary, and designing 4 kinds of calculation rules based on dependency syntax and 3 kinds of calculation rules based on complex sentences. Finally, we construct the emotional semantic relation tree to calculate the value of text sentiment. Experimental results show that the accuracy rate, recall rate and F-measure of our method are significantly better than traditional algorithms.
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Acknowledgments
This work was financially supported by the National Natural Science Foundation of China (61103199), the Engineering Program Project of CUC (3132015XNG1541, JXJYG1603) and the outstanding young teacher training project of CUC, Natural Science Basic Research Plan in Shaanxi Province of China (No. 2016JM6002) and the National Cryptography Development Fund of China (No. MMJJ20170208).
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Jiang, Z., Liu, L. (2018). Research on Sentiment Analysis of Online Public Opinion Based on Semantic. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_31
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DOI: https://doi.org/10.1007/978-981-13-0896-3_31
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