Subjectivity Detection through Socio-Linguistic Features
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригиналаПоле | Значение | |
Заглавие |
Subjectivity Detection through Socio-Linguistic Features
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Автор |
Younus, Arjumand
Qureshi, M. Atif Touheed, Nasir |
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Тематика |
SOCIAL SEARCH
SUBJECTIVITY EMOTION-AWARE SEARCH SOCIO-LINGUISTIC |
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Описание |
Social media platforms have opened new dimensions within the information retrieval domain leading to a novel concept known as Social Information Retrieval. We argue that the concept of Social Information Retrieval can be extended by augmenting the huge amount of content on the traditional Web with the ever-growing rich Social Web content to increase the information richness of today’s search engines. This paper proposes a subjectivity detection framework which can lead towards a proposed emotion-aware search engine interface. Our proposed method differs from previous subjectivity analysis approaches in that it is the first method that takes into account social features of social media platforms for the subjectivity classification task. Through experimental evaluations, we observe the accuracy of the proposed method to be 86.21% which demonstrates a promising outcome for large-scale application of our proposed subjectivity analysis technique. |
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Дата |
2011-10-12T10:25:39Z
2011-10-12T10:25:39Z 2011 |
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Тип |
Article
Journal article (info:eu-repo/semantics/article) Published version (info:eu-repo/semantics/publishedVersion) |
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Идентификатор |
Younus Arjumand. Subjectivity Detection through Socio-Linguistic Features / Arjumand Younus, M. Atif Qureshi, Nasir Touheed // Web of Data: The joint RuSSIR/EDBT 2011 Summer School, August 15–19, 2011, Proceedings of the Fifth Russian Young Scientists Conference in Information Retrieval / B. Novikov, P. Braslavsky (Eds.). — St. Petersburg, 2011 — P. 55-62.
978-5-288-05225-5 http://elar.urfu.ru/handle/10995/3712 |
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Язык |
en
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Связанные ресурсы |
RuSSIR/EDBT2011
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Формат |
134739 bytes
application/pdf |
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Издатель |
St. Petersburg University Press
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