
{"id":27094,"date":"2024-02-28T23:54:03","date_gmt":"2024-02-29T00:54:03","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%db%8c\/"},"modified":"2024-02-28T23:54:04","modified_gmt":"2024-02-29T00:54:04","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%db%8c","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d9%be%d8%b1%d8%af%d8%a7%d8%b2%d8%b4-%d8%b2%d8%a8%d8%a7%d9%86-%d8%b7%d8%a8%db%8c%d8%b9%db%8c-%d9%be%d8%a7%db%8c%d8%aa%d9%88%d9%86-%d8%a8%db%8c\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0622\u0634\u067e\u0632\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646: \u0628\u06cc\u0634 \u0627\u0632 50 \u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0648 \u062a\u0648\u0644\u06cc\u062f \u0645\u062a\u0646 \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u06a9\u0627\u0631\u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/9781838987312.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2021\u00a0\u00a0|\u00a0\u00a0284 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 2 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Zhenya Antic<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1838987312<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781838987312<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization<br \/>\nKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim<br \/>\nImplement common and not-so-common linguistic processing tasks using Python libraries<br \/>\nOvercome the common challenges faced while implementing NLP pipelinesBook Description<\/p>\n<p>Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.<\/p>\n<p>Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You&#8217;ll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you&#8217;ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data.<\/p>\n<p>By the end of this NLP book, you&#8217;ll have developed the skills to use a powerful set of tools for text processing.<br \/>\nWhat you will learn<\/p>\n<p>Become well-versed with basic and advanced NLP techniques in Python<br \/>\nRepresent grammatical information in text using spaCy, and semantic information using bag-of-words, TF-IDF, and word embeddings<br \/>\nPerform text classification using different methods, including SVMs and LSTMs<br \/>\nExplore different techniques for topic modeling such as K-means, LDA, NMF, and BERT<br \/>\nWork with visualization techniques such as NER and word clouds for different NLP tools<br \/>\nBuild a basic chatbot using NLTK and Rasa<br \/>\nExtract information from text using regular expression techniques and statistical and deep learning tools<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for data scientists and professionals who want to learn how to work with text. Intermediate knowledge of Python will help you to make the most out of this book. If you are an NLP practitioner, this book will serve as a code reference when working on your projects.<br \/>\nTable of Contents<\/p>\n<p>Learning NLP Basics<br \/>\nPlaying with Grammar<br \/>\nRepresenting text &#8211; capturing semantics<br \/>\nClassifying Texts<br \/>\nGetting started with information extraction<br \/>\nTopic modeling<br \/>\nBuilding Chatbots<br \/>\nVisualizing text data<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0628\u0627 \u062d\u0644 \u0645\u0634\u06a9\u0644\u0627\u062a NLP \u062f\u0631 \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u060c \u0645\u0627\u0646\u0646\u062f \u062a\u062c\u0632\u06cc\u0647 \u0648\u0627\u0628\u0633\u062a\u06af\u06cc \u060c \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u060c \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639 \u0648 \u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646\u06cc \u060c \u0628\u0647 \u062f\u0633\u062a \u0628\u06cc\u0627\u0648\u0631\u06cc\u062f<br \/>\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n<p>\u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u062a\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u062d\u0628\u0648\u0628 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f NLTK \u060c Spacy \u060c Sklearn \u0648 Gensim \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u06a9\u0646\u06cc\u062f<br \/>\n\u0648\u0638\u0627\u06cc\u0641 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646\u06cc \u0645\u0634\u062a\u0631\u06a9 \u0648 \u0646\u0647 \u0686\u0646\u062f\u0627\u0646 \u0645\u062a\u062f\u0627\u0648\u0644 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0631 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc \u0645\u062a\u062f\u0627\u0648\u0644 \u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u062e\u0637\u0648\u0637 \u0644\u0648\u0644\u0647 NLP \u063a\u0644\u0628\u0647 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>\u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0644\u0637\u0641 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u06af\u0633\u062a\u0631\u062f\u0647 \u062e\u0648\u062f \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u062a\u0646 \u0648 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0642\u0627\u0628\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062f\u0631 \u0631\u0627\u06cc\u0627\u0646\u0647 \u060c \u0628\u0633\u06cc\u0627\u0631 \u067e\u0631\u06a9\u0627\u0631\u0628\u0631\u062f\u062a\u0631\u06cc\u0646 \u0632\u0628\u0627\u0646 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc (NLP) \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627 \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646 \u060c \u0627\u0632 \u0645\u0628\u0627\u0646\u06cc \u0645\u0627\u0646\u0646\u062f \u062a\u062c\u0632\u06cc\u0647 \u0628\u062e\u0634 \u0647\u0627\u06cc \u06af\u0641\u062a\u0627\u0631 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639 \u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0648 \u062a\u062c\u0633\u0645 \u060c \u0628\u0647 \u0634\u0645\u0627 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0628\u0627 \u0634\u0631\u0648\u0639 \u0645\u0631\u0648\u0631\u06cc \u0628\u0631 NLP \u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u0647\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0645\u062a\u0646 \u0631\u0627 \u0628\u0647 \u062c\u0645\u0644\u0627\u062a \u060c \u062d\u0627\u06a9\u06cc \u0627\u0632 \u0622\u0646 \u0648 \u0644\u06cc\u0645\u0627\u062a\u06cc\u0632\u0627\u0633\u06cc\u0648\u0646 \u060c \u0627\u0632 \u0628\u06cc\u0646 \u0628\u0631\u062f\u0646 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\u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0646\u0645\u0627\u06cc\u0646\u062f\u06af\u06cc \u0645\u0639\u0646\u0627\u0634\u0646\u0627\u0633\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u06cc\u0641 \u0647\u0627\u06cc \u06a9\u06cc\u0641 \u060c TF-IDF \u060c \u062a\u0639\u0628\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0644\u0645\u0647 \u0648 BERT \u0648 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0645\u062a\u0646 \u0631\u0627 \u06a9\u0634\u0641 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u0644\u0645\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u060c SVM \u0647\u0627 \u060c LSTM \u0647\u0627 \u0648 \u0633\u0627\u06cc\u0631 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627.\u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u060c \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u062d\u0648\u0647 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0631\u0627 \u0627\u0632 \u0645\u062a\u0646 \u060c \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a \u0648 \u0646\u0638\u0627\u0631\u062a \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639 \u060c \u0648 \u0627\u0646\u062c\u0627\u0645 \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639 \u0627\u0632 \u0645\u062a\u0648\u0646 \u06a9\u0648\u062a\u0627\u0647 \u0645\u0627\u0646\u0646\u062f \u062a\u0648\u06cc\u06cc\u062a \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 NLTK \u0648 RASA \u060c \u0686\u062a \u0628\u0627\u0628\u0627\u062a \u0631\u0627 \u062a\u0648\u0633\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646 \u0631\u0627 \u062a\u062c\u0633\u0645 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0628\u0627 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 NLP \u060c \u0634\u0645\u0627 \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062c\u0645\u0648\u0639\u0647 \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u062a\u0646 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f.<br \/>\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n<p>\u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0627\u0633\u0627\u0633\u06cc \u0648 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 NLP \u062f\u0631 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0622\u0634\u0646\u0627 \u0634\u0648\u06cc\u062f<br \/>\n\u0627\u0637\u0644\u0627\u0639\u0627\u062a \u06af\u0631\u0627\u0645\u0631\u06cc \u0631\u0627 \u062f\u0631 \u0645\u062a\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 Spacy \u0648 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0645\u0639\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u06cc\u0641 \u0647\u0627\u06cc \u06a9\u0644\u0645\u0647 \u0627\u06cc \u060c TF-IDF \u0648 \u062a\u0639\u0628\u06cc\u0647 \u0647\u0627\u06cc \u06a9\u0644\u0645\u0647 \u0646\u0634\u0627\u0646 \u062f\u0647\u06cc\u062f<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0631\u0648\u0634\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0632 \u062c\u0645\u0644\u0647 SVM \u0648 LSTM \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f<br \/>\n\u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639 \u0645\u0627\u0646\u0646\u062f K-Means \u060c LDA \u060c NMF \u0648 BERT \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u062a\u062c\u0633\u0645 \u0645\u0627\u0646\u0646\u062f \u0627\u0628\u0631\u0647\u0627\u06cc NER \u0648 Word \u0628\u0631\u0627\u06cc \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 NLP \u06a9\u0627\u0631 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 NLTK \u0648 RASA \u06cc\u06a9 Chatbot \u0627\u0633\u0627\u0633\u06cc \u0628\u0633\u0627\u0632\u06cc\u062f<br \/>\n\u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0631\u0627 \u0627\u0632 \u0645\u062a\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0628\u06cc\u0627\u0646 \u0645\u0646\u0638\u0645 \u0648 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0622\u0645\u0627\u0631\u06cc \u0648 \u0639\u0645\u06cc\u0642 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u06cc \u0627\u0633\u062a<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0634\u0645\u0646\u062f\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u0645\u062a\u062e\u0635\u0635\u0627\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u0646\u062f \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u0646\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0645\u062a\u0646 \u06a9\u0627\u0631 \u06a9\u0646\u0646\u062f.\u062f\u0627\u0646\u0634 \u0648\u0627\u0633\u0637\u0647 \u0627\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0646\u0647\u0627\u06cc\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0631\u0627 \u0628\u0628\u0631\u06cc\u062f.\u0627\u06af\u0631 \u0634\u0645\u0627 \u06cc\u06a9 \u067e\u0632\u0634\u06a9 NLP \u0647\u0633\u062a\u06cc\u062f \u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0647\u0646\u06af\u0627\u0645 \u06a9\u0627\u0631 \u0631\u0648\u06cc \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0631\u062c\u0639 \u06a9\u062f \u062e\u062f\u0645\u062a \u0645\u06cc \u06a9\u0646\u062f.<br \/>\n\u0641\u0647\u0631\u0633\u062a \u0645\u0637\u0627\u0644\u0628<\/p>\n<p>\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0635\u0648\u0644 \u0627\u0648\u0644\u06cc\u0647 NLP<br \/>\n\u0628\u0627\u0632\u06cc \u0628\u0627 \u06af\u0631\u0627\u0645\u0631<br \/>\n\u0646\u0645\u0627\u06cc\u0646\u062f\u06af\u06cc \u0645\u062a\u0646 &#8211; \u0636\u0628\u0637 \u0645\u0639\u0646\u0627\u0634\u0646\u0627\u0633\u06cc<br \/>\n\u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u062a\u0646<br \/>\n\u0634\u0631\u0648\u0639 \u0628\u0627 \u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0637\u0644\u0627\u0639\u0627\u062a<br \/>\n\u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0645\u0648\u0636\u0648\u0639<br \/>\n\u0633\u0627\u062e\u062a \u0686\u062a \u0628\u0627\u0628\u0627\u062a<br \/>\n\u062a\u062c\u0633\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u062a\u0646<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate text for [&hellip;]<\/p>\n","protected":false},"featured_media":27095,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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