Python Social Media Analytics:
bLeverage the power of Python to collect, process, and mine deep insights from social media data/bh2About This Book/h2ulliAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more/liliAnalyze and extract actionable insights from your social data using vari...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2017
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Ausgabe: | 1 |
Schlagworte: | |
Online-Zugang: | UBY01 |
Zusammenfassung: | bLeverage the power of Python to collect, process, and mine deep insights from social media data/bh2About This Book/h2ulliAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more/liliAnalyze and extract actionable insights from your social data using various Python tools/liliA highly practical guide to conducting efficient social media analytics at scale/li/ulh2Who This Book Is For/h2If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.h2What You Will Learn/h2ulliUnderstand the basics of social media mining/liliUse PyMongo to clean, store, and access data in MongoDB/liliUnderstand user reactions and emotion detection on Facebook/liliPerform Twitter sentiment analysis and entity recognition using Python/liliAnalyze video and campaign performance on YouTube/liliMine popular trends on GitHub and predict the next big technology/liliExtract conversational topics on public internet forums/liliAnalyze user interests on Pinterest/liliPerform large-scale social media analytics on the cloud/li/ulh2In Detail/h2Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. |
Beschreibung: | 1 Online-Ressource (312 Seiten) |
ISBN: | 9781787126756 |
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520 | |a bLeverage the power of Python to collect, process, and mine deep insights from social media data/bh2About This Book/h2ulliAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more/liliAnalyze and extract actionable insights from your social data using various Python tools/liliA highly practical guide to conducting efficient social media analytics at scale/li/ulh2Who This Book Is For/h2If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. | ||
520 | |a The book does not assume any prior knowledge of any data analysis tool or process.h2What You Will Learn/h2ulliUnderstand the basics of social media mining/liliUse PyMongo to clean, store, and access data in MongoDB/liliUnderstand user reactions and emotion detection on Facebook/liliPerform Twitter sentiment analysis and entity recognition using Python/liliAnalyze video and campaign performance on YouTube/liliMine popular trends on GitHub and predict the next big technology/liliExtract conversational topics on public internet forums/liliAnalyze user interests on Pinterest/liliPerform large-scale social media analytics on the cloud/li/ulh2In Detail/h2Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. | ||
520 | |a This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. | ||
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illustrated | Not Illustrated |
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institution | BVB |
isbn | 9781787126756 |
language | English |
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publisher | Packt Publishing Limited |
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spelling | Chatterjee, Siddhartha Verfasser aut Python Social Media Analytics Chatterjee, Siddhartha 1 Birmingham Packt Publishing Limited 2017 1 Online-Ressource (312 Seiten) txt rdacontent c rdamedia cr rdacarrier bLeverage the power of Python to collect, process, and mine deep insights from social media data/bh2About This Book/h2ulliAcquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more/liliAnalyze and extract actionable insights from your social data using various Python tools/liliA highly practical guide to conducting efficient social media analytics at scale/li/ulh2Who This Book Is For/h2If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.h2What You Will Learn/h2ulliUnderstand the basics of social media mining/liliUse PyMongo to clean, store, and access data in MongoDB/liliUnderstand user reactions and emotion detection on Facebook/liliPerform Twitter sentiment analysis and entity recognition using Python/liliAnalyze video and campaign performance on YouTube/liliMine popular trends on GitHub and predict the next big technology/liliExtract conversational topics on public internet forums/liliAnalyze user interests on Pinterest/liliPerform large-scale social media analytics on the cloud/li/ulh2In Detail/h2Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design Krystyanczuk, Michal Sonstige oth |
spellingShingle | Chatterjee, Siddhartha Python Social Media Analytics COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design |
title | Python Social Media Analytics |
title_auth | Python Social Media Analytics |
title_exact_search | Python Social Media Analytics |
title_exact_search_txtP | Python Social Media Analytics |
title_full | Python Social Media Analytics Chatterjee, Siddhartha |
title_fullStr | Python Social Media Analytics Chatterjee, Siddhartha |
title_full_unstemmed | Python Social Media Analytics Chatterjee, Siddhartha |
title_short | Python Social Media Analytics |
title_sort | python social media analytics |
topic | COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design |
topic_facet | COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design |
work_keys_str_mv | AT chatterjeesiddhartha pythonsocialmediaanalytics AT krystyanczukmichal pythonsocialmediaanalytics |