Analysis of social media on python
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Remove and analyze the data from all corners of the social web on Python.
Python programming language is the optimal choice for analytics researchers, since it allows you to create prototypes, visualize and analyze small and medium-sized data sets. Countless enterprises turn to Python to solve problems related to identifying the characteristics of consumer behavior and turning the source data into effective customer information.
This book tells how to receive and analyze data from the most popular networks, such as Facebook, Twitter, Stack Exchange and others, using the Python scientific tools.
An application on the analysis of data from the VKontakte network has been added to the Russian -speaking edition.
The publication is intended for data analysis specialists, and it will also be useful to all developers on Python, who want to extract commercial benefits from social networks.
From this book you will learn how:
- interact with socio-medical platforms through a public API from applications on Python,
- Save social data in a format convenient for subsequent analysis,
- Analyze social data
and extract samples from them using Python tools,
- using techniques for processing texts to understand what people are talking about in social media,
- apply advanced statistical and analytical techniques to extract useful information from data,
- how to display data in a convenient graphic form using the web technology to study and present the results of processing
Python programming language is the optimal choice for analytics researchers, since it allows you to create prototypes, visualize and analyze small and medium-sized data sets. Countless enterprises turn to Python to solve problems related to identifying the characteristics of consumer behavior and turning the source data into effective customer information.
This book tells how to receive and analyze data from the most popular networks, such as Facebook, Twitter, Stack Exchange and others, using the Python scientific tools.
An application on the analysis of data from the VKontakte network has been added to the Russian -speaking edition.
The publication is intended for data analysis specialists, and it will also be useful to all developers on Python, who want to extract commercial benefits from social networks.
From this book you will learn how:
- interact with socio-medical platforms through a public API from applications on Python,
- Save social data in a format convenient for subsequent analysis,
- Analyze social data
and extract samples from them using Python tools,
- using techniques for processing texts to understand what people are talking about in social media,
- apply advanced statistical and analytical techniques to extract useful information from data,
- how to display data in a convenient graphic form using the web technology to study and present the results of processing
Author:
Author:Bonzanini Marco
Cover:
Cover:Soft
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-574-5
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