找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Natural Language Processing Recipes; Unlocking Text Data Akshay Kulkarni,Adarsha Shivananda Book 20191st edition Akshay Kulkarni and Adars

[复制链接]
查看: 10195|回复: 36
发表于 2025-3-21 16:44:22 | 显示全部楼层 |阅读模式
书目名称Natural Language Processing Recipes
副标题Unlocking Text Data
编辑Akshay Kulkarni,Adarsha Shivananda
视频video
概述Covers advanced programming recipes in natural language processing.Covers recent concepts such as RNN and embedding in national language processing.Includes many practical code examples using Python
图书封面Titlebook: Natural Language Processing Recipes; Unlocking Text Data  Akshay Kulkarni,Adarsha Shivananda Book 20191st edition Akshay Kulkarni and Adars
描述Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. .Natural Language Processing Recipes. starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing..By using the recipes in thisbook, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. .What You Will Learn.Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more.Implement the
出版日期Book 20191st edition
关键词Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un
版次1
doihttps://doi.org/10.1007/978-1-4842-4267-4
isbn_ebook978-1-4842-4267-4
copyrightAkshay Kulkarni and Adarsha Shivananda 2019
The information of publication is updating

书目名称Natural Language Processing Recipes影响因子(影响力)




书目名称Natural Language Processing Recipes影响因子(影响力)学科排名




书目名称Natural Language Processing Recipes网络公开度




书目名称Natural Language Processing Recipes网络公开度学科排名




书目名称Natural Language Processing Recipes被引频次




书目名称Natural Language Processing Recipes被引频次学科排名




书目名称Natural Language Processing Recipes年度引用




书目名称Natural Language Processing Recipes年度引用学科排名




书目名称Natural Language Processing Recipes读者反馈




书目名称Natural Language Processing Recipes读者反馈学科排名




单选投票, 共有 1 人参与投票
 

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

您所在的用户组没有投票权限
发表于 2025-3-21 20:17:58 | 显示全部楼层
发表于 2025-3-22 00:34:15 | 显示全部楼层
l world, making your development time quicker and more efficient. .What You Will Learn.Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more.Implement the 978-1-4842-4267-4
发表于 2025-3-22 06:45:20 | 显示全部楼层
ss-sectional studies. Among adults the median total sitting time was 6.4 h/day. Self-reported sedentary time was 5.6 h/day which was more than 2½ h/day less than that observed from device-based measured sitting time (median 8.3 h/day). Reported television (TV) watching time showed a median of 2.2 h/
发表于 2025-3-22 11:24:27 | 显示全部楼层
发表于 2025-3-22 15:21:26 | 显示全部楼层
发表于 2025-3-22 17:26:14 | 显示全部楼层
发表于 2025-3-22 23:43:15 | 显示全部楼层
发表于 2025-3-23 04:33:39 | 显示全部楼层
发表于 2025-3-23 07:14:25 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-14 09:01
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表