Impact of Anaphora Resolution on Opinion Target Identification

被引：0

作者：

Saqia, Bibi ^{[1
]}

Khan, Khairullah ^{[1
]}

Khan, Aurangzeb ^{[1
]}

Subhan, Fazali ^{[2
]}

Khan, Wahab ^{[3
]}

Abid, Muhammad ^{[4
]}

机构：

[1] Univ Sci & Technol, Dept Comp Sci, Bannu, Pakistan

[2] Natl Univ Modern Languages, Dept Comp Sci, Islamabad, Pakistan

[3] Int Islamic Univ, Dept Comp Sci & Software Engn, Islamabad, Pakistan

[4] Kohat Univ Sci & Technol Kohat, Inst Informat Technol, Kohat, Pakistan

来源：

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2018年 / 9卷 / 06期

关键词：

Opinion mining; machine learning; evaluative expression; anaphora resolution; opinion targets;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Opinion mining is an interesting area of research because of its wide applications in the decision-making process. Opinion mining aims to extract user's perception from the text and to create a fast and accurate summary of people's opinion about anything. In this study, we have worked on opinion target identification and the impact of anaphora resolution on opinion target extraction. Anaphora resolution can be utilized to detect opinion target in sentences having prepositions instead of nouns. We empirically evaluated the impact of anaphora resolution using benchmark datasets. We have achieved accuracy such as precision: 88.14 recall: 71.45 and f-score: 72.12, respectively.

引用

页码：230 / 236

页数：7

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