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DOI: 10.14569/IJACSA.2018.090633
PDF

Impact of Anaphora Resolution on Opinion Target Identification

Author 1: BiBi Saqia
Author 2: Khairullah Khan
Author 3: Aurangzeb Khan
Author 4: Wahab Khan
Author 5: Fazali Subhan
Author 6: Muhammad Abid

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 6, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: 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.

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

BiBi Saqia, Khairullah Khan, Aurangzeb Khan, Wahab Khan, Fazali Subhan and Muhammad Abid, “Impact of Anaphora Resolution on Opinion Target Identification” International Journal of Advanced Computer Science and Applications(IJACSA), 9(6), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090633

@article{Saqia2018,
title = {Impact of Anaphora Resolution on Opinion Target Identification},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090633},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090633},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {6},
author = {BiBi Saqia and Khairullah Khan and Aurangzeb Khan and Wahab Khan and Fazali Subhan and Muhammad Abid}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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