Text Analysis with Python: A Research Oriented Guide

Book Description

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a structured and progressive way.

Key Features

• Introduces the reader to Python programming and data processing
• Introduces the reader to the preliminaries of natural language processing (NLP)
• Covers data analysis and visualization using predefined python libraries and datasets
• Teaches how to write text mining programs in Python
• Includes text classification and clustering techniques
• Informs the reader about different types of neural networks for text analysis
• Includes advanced analytical techniques such as fuzzy logic and deep learning techniques
• Explains concepts in a simplified and structured way that is ideal for learners
• Includes References for further reading

Text Analysis with Python: A Research-Oriented Guide is an ideal guide for students in data science and computer science courses, and for researchers and analysts who want to work on artificial intelligence projects that require the application of text mining and NLP techniques.

中文：

书名：Python文本分析: 研究型指南

使用Python进行文本分析: 面向研究的指南是使用python代码进行文本挖掘的快速而全面的参考。本书的主要目的是为读者提供将各种机器学习和深度学习技术应用于文本数据的知识。这本书分为八章，以结构化和渐进的方式介绍了该主题。

主要特征

• 介绍Python编程和数据处理
• 向读者介绍自然语言处理 (NLP)
• 使用预定义的python库和数据集进行数据分析和可视化
• 教Python写文本挖掘程序
• 包括文本分类和聚类技术
• 告知读者不同类型的神经网络进行文本分析
• 包括高级分析技术，如模糊逻辑和深度学习技术
• 以简化和结构化的方式解释概念，非常适合学习者
• 包括参考资料以供进一步阅读

使用Python进行文本分析: 面向研究的指南是数据科学和计算机科学课程的学生以及希望从事需要应用文本挖掘和NLP技术的人工智能项目的研究人员和分析师的理想指南。