Impact of Anaphora Resolution on Opinion Target Identification
| Autor: | Wahab Khan, Khairullah Khan, Aurangzeb Khan, Bibi Saqia, Fazali Subhan, Muhammad Abid |
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| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science business.industry Sentiment analysis Resolution (logic) computer.software_genre 030507 speech-language pathology & audiology 03 medical and health sciences Identification (information) Noun Benchmark (computing) Artificial intelligence 0305 other medical science business computer Natural language processing Anaphora (rhetoric) |
| Zdroj: | International Journal of Advanced Computer Science and Applications. 9 |
| ISSN: | 2156-5570 2158-107X |
| DOI: | 10.14569/ijacsa.2018.090633 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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