Natural Language Processing With Python (1)

最新推荐文章于 2023-08-18 16:04:07 发布
原创 最新推荐文章于 2023-08-18 16:04:07 发布 · 667 阅读 · 0 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
文章标签：

#natural #language #processing #python #杂谈

本文介绍了自然语言处理(NLP)的基本概念和技术，包括词频分布、词语消歧、代词解析等关键技术，并探讨了如何获取文本语料库及词汇资源，如WordNet等。
部署运行你感兴趣的模型镜像

Chapter 1:

Easy, just using some API.

Important API : FreqDist(). 

Some natural language understanding technologies : Word Sense Disambiguation, Pronoun Resolution, Generating Languge Output, Machcine Translation, Spoken Dialogue Systems, Textual Entailment.

 

Chapter 2:

Learn to access text corpora and lexical resource.

Important API : ConditionalFreqDist(), words(), sents(),raw().

Corpora:

To get lexical resource :

WordNet (semantic oriented, large number of info about words)

WordList

StopWords

 

To get a collection of text(some with category):

Gutenberg

Brown

Web and Chat Text

您可能感兴趣的与本文相关的镜像

Stable-Diffusion-3.5

Stable-Diffusion-3.5

图片生成
Stable-Diffusion

Stable Diffusion 3.5 (SD 3.5) 是由 Stability AI 推出的新一代文本到图像生成模型，相比 3.0 版本，它提升了图像质量、运行速度和硬件效率

Python Natural Language Processing
08-11
Python Natural Language Processing by Jalaj Thanaki English | 31 July 2017 | ISBN: 1787121429 | ASIN: B072B8YWCJ | 486 Pages | AZW3 | 11.02 MB Key Features Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Book Description This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. What you will learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot,
Natural language processing with Python
04-12
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.
《Natural Language Processing with Python》PDF
08-31
《Natural Language Processing with Python》《Natural Language Processing with Python》《Natural Language Processing with Python》《Natural Language Processing with Python》《Natural Language Processing with Python》《Natural Language Processing with Python》《Natural Language Processing with Python》
《Natural Language Processing with Python》
10-07
《Natural Language Processing with Python》是一本专注于如何使用Python编程语言进行自然语言处理（NLP）的实用指南。自然语言处理是计算机科学、人工智能和语言学领域交叉的一个分支，旨在研究如何通过计算机来...
PYTHON自然语言处理【Natural Language Processing with Python】
最新发布
01-16
本书《PYTHON自然语言处理【Natural Language Processing with Python】》是NLP领域的经典教材，它不仅为读者提供了NLP的基础知识，还深入介绍了如何使用Python这门简洁而强大的编程语言来实现各种自然语言处理的...
Natural Language Processing with Python Cookbook_Code 源码
03-16
Natural Language Processing with Python Cookbook_Code 源码 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
Natural Language Processing with Python
05-11
标题“Natural Language Processing with Python”表明本文关注的主题是使用Python语言进行自然语言处理（NLP）。自然语言处理是计算机科学、人工智能和语言学领域中一个非常重要的分支，它致力于研究如何使用计算机...
Mastering Natural Language Processing with Python [2016]
09-19
Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, Iti Mathur 2016 | ISBN: 1783989041 | English | 238 pages Maximize your NLP capabilities while creating amazing NLP projects in Python About This Book Learn to implement various NLP tasks in Python Gain insights into the current and budding research topics of NLP This is a comprehensive step-by-step guide to help students and researchers create their own projects based on real-life applications Who This Book Is For This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python. What You Will Learn Implement string matching algorithms and normalization techniques Implement statistical language modeling techniques Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm Develop an NER-based system and understand and apply the concepts of sentiment analysis Understand and implement the concepts of Information Retrieval and text summarization Develop a Discourse Analysis System and Anaphora Resolution based system In Detail Natural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK. You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution. Style and approach This is an easy-to-follow guide, full of hands-on examples of real-world tasks. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used.
natural language processing with python最新版本 python3,NLTK3
06-04
natural language processing with python最新版本，python3,NLTK3，注意是英文版本，每个章节都是分开的，介意的话，别下载
NLTK Natural Language Processing with Python中文版
12-18
NLTK Natural Language Processing with Python中文版
Natural Language Processing with Python 无水印pdf
10-03
Natural Language Processing with Python 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除
Natural Language Processing with Python: A Primer
AI天才研究院
08-18 753
作者：禅与计算机程序设计艺术 1.简介 自然语言处理（NLP）是指将计算机“读懂”人类的语言、文本或者其他形式的输入信息并进行分析、理解、提取其中的信息。它的应用遍及各个领域，如人机交互、自然语言生成、信息检索、搜索引擎等。Python 是一种高级编程语言，广泛用于科研、工程实践和数据科学领域。近年来，
Natural Language Processing with Python - Chapter 0
weixin_30606461的博客
09-18 220
一年之前，我做梦也想不到会来这里写技术总结。误打误撞来到了上海西南某高校，成为了文科专业的工科男，现在每天除了膜ha，就是恶补CS。导师是做计算语言学的，所以当务之急就是先自学计算机自然语言处理，打好底子准备做科研（认真脸）。 进入正题，从图书馆找了本“Natural Language Processing with Python” （影印版），书长这个样子，作者是Steven Bird, Ew...
Exercises - Natural Language Processing with Python (Chapter5)
Meiling_up
11-13 354
import pprint import nltk import pylab from nltk.corpus import brown # 1 lst1 = 'British Left Waffles on Falkland Islands' lst2 = 'Juvenile Court to Try Shooting Defendant' text1 = nltk.word_tokenize(lst1) print(nltk.pos_tag(text1)) text2 = nltk.word_tok.
PYTHON 自然语言处理
weixin_36841920的博客
03-08 402
推荐一本免费的在线电子书，《用Python进行自然语言处理》， 用NLP 工具包（开源免费，Python）来进行文本分析。特别适合初学计算语言学的学生。好像没有好的中文切词。当然，免不了需要提一下 Dan Jurafsky 教授，大家可以搜索一下，找找他的讲义。简要翻译一下提纲：（书的主站点：http://www.nltk.org/）序言用Python进行语言处理使用文本语料库和辞典资源处理原始文...
对《natural language processing with python》内容的单词进行分析和统计
04-01
以下是《Natural Language Processing with Python》一书中前 100 个出现频率最高的单词及其出现次数： | 单词 | 出现次数 | | --- | --- | | the | 2360 | | , | 2197 | | . | 1974 | | of | 1254 | | and | 1075 ...
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
表情包 代码片
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值