Machine Learning Approach for Answer Detection in Discussion Forums: An Application of Big Data Analytics
المؤلفون المشاركون
Zubair, Muhammad
Ibrahim, Ibrahim
Uddin, M. Irfan
Khan, Atif
Ahmad, Shafiq
Al Firdausi, Muhammad Dzulqarnain
Zaindin, Mazen
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-22
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Nowadays, data are flooding into online web forums, and it is highly desirable to turn gigantic amount of data into actionable knowledge.
Online web forums have become an integral part of the web and are main sources of knowledge.
People use this platform to post their questions and get answers from other forum members.
Usually, an initial post (question) gets more than one reply posts (answers) that make it difficult for a user to scan all of them for most relevant and quality answer.
Thus, how to automatically extract the most relevant answer for a question within a thread is an important issue.
In this research, we treat the task of answer extraction as classification problem.
A reply post can be classified as relevant, partially relevant, or irrelevant to the initial post.
To find the relevancy/similarity of a reply to the question, both lexical and nonlexical features are used.
We proposed to use LinearSVC, a variant of support vector machine (SVM), for answer classification.
Two selection techniques such as chi-square and univariate are employed to reduce the feature space size.
The experimental results showed that LinearSVC classifier outperformed the other state-of-the-art classifiers in the context of classification accuracy for both Ubuntu and TripAdvisor (NYC) discussion forum datasets.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Khan, Atif& Ibrahim, Ibrahim& Uddin, M. Irfan& Zubair, Muhammad& Ahmad, Shafiq& Al Firdausi, Muhammad Dzulqarnain…[et al.]. 2020. Machine Learning Approach for Answer Detection in Discussion Forums: An Application of Big Data Analytics. Scientific Programming،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209027
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Khan, Atif…[et al.]. Machine Learning Approach for Answer Detection in Discussion Forums: An Application of Big Data Analytics. Scientific Programming No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1209027
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Khan, Atif& Ibrahim, Ibrahim& Uddin, M. Irfan& Zubair, Muhammad& Ahmad, Shafiq& Al Firdausi, Muhammad Dzulqarnain…[et al.]. Machine Learning Approach for Answer Detection in Discussion Forums: An Application of Big Data Analytics. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1209027
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1209027
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر