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
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
收藏
页码:230 / 236
页数:7
相关论文
共 50 条
  • [21] Reciprocal Anaphora Resolution in Pashto Discourse
    Ali, Rahman
    Khan, Mohammad Abid
    Bilal, Muhammad
    Rabbi, Ihsan
    2008 INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES, PROCEEDINGS, 2008, : 1 - 5
  • [22] On the use of anaphora resolution for workflow extraction
    Schumacher, Pol
    Minor, Mirjam
    Schulte-Zurhausen, Erik
    Advances in Intelligent Systems and Computing, 2014, 263 : 151 - 170
  • [23] Saara: Anaphora Resolution on Free Text in Czech
    Nemcik, Vasek
    RASLAN 2012: RECENT ADVANCES IN SLAVONIC NATURAL LANGUAGE PROCESSING, 2012, : 3 - 8
  • [24] A Cluster Ranking Model for Full Anaphora Resolution
    Yu, Juntao
    Uma, Alexandra
    Poesio, Massimo
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 2020, : 11 - 20
  • [25] A hybrid approach for anaphora resolution in the Russian language
    Kozlova, Anna
    Svischev, Alexey
    Gureenkova, Olga
    Batura, Tatiana
    2017 SIBERIAN SYMPOSIUM ON DATA SCIENCE AND ENGINEERING (SSDSE), 2017, : 36 - 40
  • [26] Discourse Topic in Anaphora Resolution and Discourse Construction
    Liu, Donghong
    2013 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2013), 2013, : 15 - 17
  • [27] Anaphora resolution in Chinese financial news for information extraction
    Wang, N
    Yuan, CF
    Wong, KF
    Li, WJ
    PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, : 2422 - 2426
  • [28] A comprehensive review on feature set used for anaphora resolution
    Lata, Kusum
    Singh, Pardeep
    Dutta, Kamlesh
    ARTIFICIAL INTELLIGENCE REVIEW, 2021, 54 (04) : 2917 - 3006
  • [29] EXPERIMENTAL STUDIES OF GRAMMAR: ANAPHORA RESOLUTION IN SPEECH COMPREHENSION
    Prokopenya, Veronika K.
    Slioussar, Natalia A.
    Petrova, Tatiana Ye.
    Chernova, Daria A.
    Chernigovskaya, Tatiana V.
    VOPROSY YAZYKOZNANIYA, 2018, (01): : 76 - 90
  • [30] Arabic Anaphora Resolution: Corpora Annotation with Coreferential Links
    Hammami, Souha
    Belguith, Lamia
    Ben Hamadou, Abdelmajid
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2009, 6 (05) : 481 - 489