<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Sentiment analysis, also known as opinion mining, refers to the emotional tendencies expressed by the critics through the analysis of the content of the text. The task of text sentiment analysis mainly includes the classification of sentiment, the extraction of sentiment information and the retrieval and induction of sentiment information. Based on CRF, this paper will extract several pairs of theme words and sentiment words exist in the e-commerce review, and judge the sentiment inclination of the extracted sentiment words. The experimental results show that CRF has a good effect on the extraction of emotional information.</p></abstract>

Sentiment analysis, also known as opinion mining, refers to the emotional tendencies expressed by the critics through the analysis of the content of the text. The task of text sentiment analysis mainly includes the classification of sentiment, the extraction of sentiment information and the retrieval and induction of sentiment information. Based on CRF, this paper will extract several pairs of theme words and sentiment words exist in the e-commerce review, and judge the sentiment inclination of the extracted sentiment words. The experimental results show that CRF has a good effect on the extraction of emotional information.

The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews"}

Sentiment analysis, also known as opinion mining, refers to the emotional tendencies expressed by the critics through the analysis of the content of the text....

The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews

Published Online: May 07, 2018

Page range: 92 - 96

DOI: https://doi.org/10.21307/ijanmc-2018-017

Keywords
CRF, Extract Theme Words, Extract Sentiment Words, Sentiment Analysis

© 2018 Danyang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

TABLE I.

Figure 3.

Figure 5.

Figure 4.

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Figure 8.

The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews

Published Online: May 07, 2018

Page range: 92 - 96

DOI: https://doi.org/10.21307/ijanmc-2018-017

KeywordsCRF, Extract Theme Words, Extract Sentiment Words, Sentiment Analysis

© 2018 Danyang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

TABLE I.

Figure 3.

Figure 5.

Figure 4.

Figure 6.

Figure 7.

Figure 8.

Keywords
CRF, Extract Theme Words, Extract Sentiment Words, Sentiment Analysis