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Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1997 Springer Science+Business Media New York 199

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書目名稱Masters Theses in the Pure and Applied Sciences
副標題Accepted by Colleges
編輯Wade H. Shafer
視頻videohttp://file.papertrans.cn/626/625591/625591.mp4
圖書封面Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1997 Springer Science+Business Media New York 199
描述Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis- seminated by the Center for lnformation and Numerica/ Data Analysis and Synthesis (C/NDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac- tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficia! to the academic and general scientific and technical community. After fi ve years of this joint undertaking we had concluded that it was in the interest of ali concerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and App/ied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. Ali back issues can also be ordered from Plenum. We have reported in Volume 21 (thesis year 1976) a total of 10,586 theses titles from
出版日期Book 1997
關(guān)鍵詞calculus; data analysis; service; university
版次1
doihttps://doi.org/10.1007/978-1-4757-5782-8
isbn_softcover978-1-4757-5784-2
isbn_ebook978-1-4757-5782-8
copyrightSpringer Science+Business Media New York 1997
The information of publication is updating

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Wade H. Shafers book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media mo
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Wade H. Shafers book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media mo
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發(fā)表于 2025-3-22 10:36:30 | 只看該作者
Wade H. Shafer the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields
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發(fā)表于 2025-3-22 13:16:37 | 只看該作者
Wade H. Shafer the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields
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Wade H. Shafer the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields
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Wade H. Shafer the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields
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