找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning for Text; Charu C. Aggarwal Textbook 2022Latest edition Springer Nature Switzerland AG 2022 Machine Learning.Deep Learnin

[復制鏈接]
查看: 42839|回復: 59
樓主
發(fā)表于 2025-3-21 17:21:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning for Text
編輯Charu C. Aggarwal
視頻videohttp://file.papertrans.cn/621/620653/620653.mp4
概述Integrates treatment of text mining/learning, information retrieval and natural language processing.Has a strong focus on deep learning, transformers and pre-trained language models.Simplifies the mat
圖書封面Titlebook: Machine Learning for Text;  Charu C. Aggarwal Textbook 2022Latest edition Springer Nature Switzerland AG 2022 Machine Learning.Deep Learnin
描述This second edition textbook covers a coherently organized framework for text analytics, which integrates?material drawn from the intersecting topics of information retrieval, machine learning, and?natural language processing. Particular importance is placed on deep learning methods. The?chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis..2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods.?.3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge
出版日期Textbook 2022Latest edition
關鍵詞Machine Learning; Deep Learning; Neural Networks; Transformers; Text Mining; Natural Language Processing;
版次2
doihttps://doi.org/10.1007/978-3-030-96623-2
isbn_softcover978-3-030-96625-6
isbn_ebook978-3-030-96623-2
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

書目名稱Machine Learning for Text影響因子(影響力)




書目名稱Machine Learning for Text影響因子(影響力)學科排名




書目名稱Machine Learning for Text網(wǎng)絡公開度




書目名稱Machine Learning for Text網(wǎng)絡公開度學科排名




書目名稱Machine Learning for Text被引頻次




書目名稱Machine Learning for Text被引頻次學科排名




書目名稱Machine Learning for Text年度引用




書目名稱Machine Learning for Text年度引用學科排名




書目名稱Machine Learning for Text讀者反饋




書目名稱Machine Learning for Text讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 23:54:42 | 只看該作者
Text Classification: Basic Models,at associate data points with . indicating their class membership. For example, the training examples extracted from a news portal on political matters might attach one of three labels associated with each of the documents, such as “.,” “.,” and “..” Then, for a given set of . in which labels are no
板凳
發(fā)表于 2025-3-22 01:06:47 | 只看該作者
地板
發(fā)表于 2025-3-22 05:02:25 | 只看該作者
Attention Mechanisms and Transformers, of the data, so that portions of the data that are most relevant for prediction are emphasized. A classical example of an application of attention occurs in machine translation, where the translation of a specific part of a target sentence often focuses on important parts of the source sentence.
5#
發(fā)表于 2025-3-22 11:15:03 | 只看該作者
6#
發(fā)表于 2025-3-22 16:04:01 | 只看該作者
7#
發(fā)表于 2025-3-22 18:03:43 | 只看該作者
8#
發(fā)表于 2025-3-22 22:14:44 | 只看該作者
9#
發(fā)表于 2025-3-23 05:24:43 | 只看該作者
Charu C. Aggarwal for church-financing and for a hands-off policy toward reliThis book focuses on the financing of religions, examining some European church-state models, using a philosophical methodology. The work defends autonomy-based liberalism and elaborates how this liberalism can meet the requirements of libe
10#
發(fā)表于 2025-3-23 09:01:35 | 只看該作者
Charu C. Aggarwal for church-financing and for a hands-off policy toward reliThis book focuses on the financing of religions, examining some European church-state models, using a philosophical methodology. The work defends autonomy-based liberalism and elaborates how this liberalism can meet the requirements of libe
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 00:43
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
沐川县| 长泰县| 铜鼓县| 阜阳市| 英吉沙县| 徐汇区| 象山县| 龙川县| 台东县| 莱阳市| 都安| 饶阳县| 石林| 梨树县| 晋州市| 定日县| 梁山县| 湘潭县| 西畴县| 宣恩县| 花垣县| 五家渠市| 民权县| 宜良县| 南岸区| 抚顺市| 高雄市| 吉木萨尔县| 盖州市| 鹰潭市| 嘉峪关市| 承德市| 晋中市| 宣汉县| 浮山县| 乌兰县| 偏关县| 周口市| 镇雄县| 商丘市| 南丹县|