- Author:James G. Shanahan,Yan Qu,Janyce Wiebe
- Publisher:Springer; 2006 edition (January 9, 2006)
- Pages:341 pages
- Subcategory:Computer Science
- FB2 format1885 kb
- ePUB format1623 kb
- DJVU format1115 kb
- Formats:doc txt mbr lrf
Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sentences used to objectively present factual information. There are numerous applications for which subjectivity tagging is relevant, including information extraction and information retrieval. It takes one type of data as the query to retrieve relevant data of another type. For example, a user can use a text to retrieve relevant pictures or videos.
Series: The Information Retrieval Series (Book 20).
ISBN-13: 978-1402040269. Whether the reader is more interested in the computational or the linguistic aspects of the problem-or even just the range of possible applications-this collection will broaden the perspective on the issue. For readers with no background in sentiment detection the volume can serve as an initial overview of the field. Series: The Information Retrieval Series (Book 20).
Электронная книга "Computing Attitude and Affect in Text: Theory and Applications", James G. Shanahan, Yan Qu, Janyce Wiebe. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Computing Attitude and Affect in Text: Theory and Applications" для чтения в офлайн-режиме.
The chapters in this book address attitude, affect, and subjective opinion. Various conceptual models and computational methods are presented, including distinguishing attitudes from simple factual assertions; distinguishing between the author's reports from reports of other people's opinions; and distinguishing between explicitly and implicitly stated attitudes. In The chapters in this book address attitude, affect, and subjective opinion.
Дата издания: 2005 Серия: The Information Retrieval Series Язык .
Дата издания: 2005 Серия: The Information Retrieval Series Язык: ENG Иллюстрации: Biography Размер: 2. 9 x 1. 0 x . 1 cm Читательская аудитория: General (us: trade) Рейтинг . This book uncovers such applications, explaining the underlying technology and its implementation. It demonstrates how they can be modeled, designed, and implemented. Описание: The book covers the theory and application of soft computing techniques; namely neural networks, fuzzy logic, evolutionary computing and complex systems.
Computing Attitude and Affect in Text: Theory and Applications. James G. The Information Retrieval Series. Other aspects, including pragmatics, opinion, an. More).
Anthology ID: J07-2010. Volume: Computational Linguistics, Volume 33, Number 2, June 2007.