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: Computing Attitude and Affect in Text: Theory and Applications; James G. Shanahan,Yan Qu,Janyce Wiebe Book 2006 Springer Science+Business

[復(fù)制鏈接]
查看: 28118|回復(fù): 65
樓主
發(fā)表于 2025-3-21 19:35:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computing Attitude and Affect in Text: Theory and Applications
編輯James G. Shanahan,Yan Qu,Janyce Wiebe
視頻videohttp://file.papertrans.cn/235/234725/234725.mp4
概述A seminal collection of work on computing attitude, affect, and sentiment.A balance of conceptual models, computational models, and applications.Cross-disciplinary, catering to a broad audience.Access
叢書名稱The Information Retrieval Series
圖書封面Titlebook: Computing Attitude and Affect in Text: Theory and Applications;  James G. Shanahan,Yan Qu,Janyce Wiebe Book 2006 Springer Science+Business
描述Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: 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 addition, many applications are described that promise to benefit from the ability to understand attitudes and affect, including indexing and retrieval of documents by opinion; automatic question answering about opinions; analysis of sentiment in the media and in discussion groups about consumer products, political issues, etc. ; brand
出版日期Book 2006
關(guān)鍵詞Text; artificial intelligence; berck; corpus; intelligence; natural language processing; therapy
版次1
doihttps://doi.org/10.1007/1-4020-4102-0
isbn_softcover978-94-007-9257-9
isbn_ebook978-1-4020-4102-0Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer Science+Business Media B.V. 2006
The information of publication is updating

書目名稱Computing Attitude and Affect in Text: Theory and Applications影響因子(影響力)




書目名稱Computing Attitude and Affect in Text: Theory and Applications影響因子(影響力)學(xué)科排名




書目名稱Computing Attitude and Affect in Text: Theory and Applications網(wǎng)絡(luò)公開度




書目名稱Computing Attitude and Affect in Text: Theory and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computing Attitude and Affect in Text: Theory and Applications被引頻次




書目名稱Computing Attitude and Affect in Text: Theory and Applications被引頻次學(xué)科排名




書目名稱Computing Attitude and Affect in Text: Theory and Applications年度引用




書目名稱Computing Attitude and Affect in Text: Theory and Applications年度引用學(xué)科排名




書目名稱Computing Attitude and Affect in Text: Theory and Applications讀者反饋




書目名稱Computing Attitude and Affect in Text: Theory and Applications讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:36:37 | 只看該作者
The Subjectivity of Lexical Cohesion in Text,ee of subjectivity in readers’ perceptions of lexical semantic relations, which are the building blocks of the lexical chains used in many applications in natural language processing. An example is presented in which the subjectivity reflects the reader’s attitude.
板凳
發(fā)表于 2025-3-22 01:28:17 | 只看該作者
A Computational Semantic Lexicon of French Verbs of Emotion,ng this lexicon to provide an interpretation and to generate paraphrases. Semantic representations are described by means of a set of feature structures. Sixty newspaper “l(fā)etters to the Editor” were taken as a domain for the evaluation of this work.
地板
發(fā)表于 2025-3-22 06:21:46 | 只看該作者
Generating More-Positive and More-Negative Text, a set of attitudinal nuances, with particular focus on its near-synonyms. Then we use our text generator to produce a text with the same meaning but changed semantic orientation (more positive or more negative) by replacing, wherever possible, words with near-synonyms that differ in their expressed attitude.
5#
發(fā)表于 2025-3-22 12:36:17 | 只看該作者
Computing Attitude and Affect in Text: Theory and Applications978-1-4020-4102-0Series ISSN 1871-7500 Series E-ISSN 2730-6836
6#
發(fā)表于 2025-3-22 13:32:26 | 只看該作者
7#
發(fā)表于 2025-3-22 19:13:12 | 只看該作者
8#
發(fā)表于 2025-3-22 22:40:12 | 只看該作者
Complexity of Primality Testingng this lexicon to provide an interpretation and to generate paraphrases. Semantic representations are described by means of a set of feature structures. Sixty newspaper “l(fā)etters to the Editor” were taken as a domain for the evaluation of this work.
9#
發(fā)表于 2025-3-23 02:44:14 | 只看該作者
10#
發(fā)表于 2025-3-23 06:25:06 | 只看該作者
James G. Shanahan,Yan Qu,Janyce WiebeA seminal collection of work on computing attitude, affect, and sentiment.A balance of conceptual models, computational models, and applications.Cross-disciplinary, catering to a broad audience.Access
 關(guān)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(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 11:00
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
建宁县| 澜沧| 贺州市| 莒南县| 康平县| 莱芜市| 克什克腾旗| 定结县| 楚雄市| 西安市| 昌吉市| 吴堡县| 枣阳市| 濮阳县| 石城县| 淮安市| 盐山县| 嘉峪关市| 大竹县| 宁远县| 长春市| 秦安县| 攀枝花市| 兖州市| 长治市| 阳信县| 晋城| 桐庐县| 盐边县| 禄劝| 桐乡市| 年辖:市辖区| 勐海县| 达日县| 南和县| 天镇县| 苗栗县| 故城县| 肃南| 垣曲县| 宾川县|