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: Natural Language Processing Recipes; Unlocking Text Data Akshay Kulkarni,Adarsha Shivananda Book 2021Latest edition Akshay Kulkarni and Ad

[復(fù)制鏈接]
查看: 21090|回復(fù): 40
樓主
發(fā)表于 2025-3-21 17:49:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Natural Language Processing Recipes
副標(biāo)題Unlocking Text Data
編輯Akshay Kulkarni,Adarsha Shivananda
視頻videohttp://file.papertrans.cn/662/661799/661799.mp4
概述Explains NLP concepts with simple programming recipes and implementation in Python.Teaches NLP life cycle end-to-end implementation pipeline: leverage state-of-the-art techniques and tools.Covers the
圖書封面Titlebook: Natural Language Processing Recipes; Unlocking Text Data  Akshay Kulkarni,Adarsha Shivananda Book 2021Latest edition Akshay Kulkarni and Ad
描述Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP.?.The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters expl
出版日期Book 2021Latest edition
關(guān)鍵詞Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un
版次2
doihttps://doi.org/10.1007/978-1-4842-7351-7
isbn_softcover978-1-4842-7350-0
isbn_ebook978-1-4842-7351-7
copyrightAkshay Kulkarni and Adarsha Shivananda 2021
The information of publication is updating

書目名稱Natural Language Processing Recipes影響因子(影響力)




書目名稱Natural Language Processing Recipes影響因子(影響力)學(xué)科排名




書目名稱Natural Language Processing Recipes網(wǎng)絡(luò)公開度




書目名稱Natural Language Processing Recipes網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Natural Language Processing Recipes被引頻次




書目名稱Natural Language Processing Recipes被引頻次學(xué)科排名




書目名稱Natural Language Processing Recipes年度引用




書目名稱Natural Language Processing Recipes年度引用學(xué)科排名




書目名稱Natural Language Processing Recipes讀者反饋




書目名稱Natural Language Processing Recipes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

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

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 23:58:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:36:38 | 只看該作者
http://image.papertrans.cn/n/image/661799.jpg
地板
發(fā)表于 2025-3-22 04:47:13 | 只看該作者
https://doi.org/10.1007/978-1-4842-7351-7Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un
5#
發(fā)表于 2025-3-22 10:18:57 | 只看該作者
Akshay Kulkarni,Adarsha ShivanandaExplains NLP concepts with simple programming recipes and implementation in Python.Teaches NLP life cycle end-to-end implementation pipeline: leverage state-of-the-art techniques and tools.Covers the
6#
發(fā)表于 2025-3-22 14:14:53 | 只看該作者
Extracting the Data,This chapter covers various sources of text data and the ways to extract it. Textual data can act as information or insights for businesses. The following recipes are covered.
7#
發(fā)表于 2025-3-22 18:34:56 | 只看該作者
Exploring and Processing Text Data,This chapter discusses various methods and techniques to preprocess textual data and exploratory data analysis. It covers the following recipes.
8#
發(fā)表于 2025-3-22 23:06:45 | 只看該作者
9#
發(fā)表于 2025-3-23 02:25:43 | 只看該作者
10#
發(fā)表于 2025-3-23 06:27:16 | 只看該作者
 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, 2025-10-14 10:49
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
田林县| 赫章县| 宁蒗| 错那县| 昆明市| 上高县| 岱山县| 开远市| 盱眙县| 乡城县| 莎车县| 上饶县| 毕节市| 越西县| 金塔县| 乌恰县| 县级市| 平遥县| 吉隆县| 云龙县| 临洮县| 化州市| 普宁市| 宜阳县| 嫩江县| 襄垣县| 西城区| 大渡口区| 常德市| 巴林左旗| 沧州市| 元朗区| 揭阳市| 清苑县| 同心县| 宣城市| 阿合奇县| 淮阳县| 香港 | 西宁市| 安化县|