Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more - Couverture souple

Chatterjee, Siddhartha; Krystyanczuk, Michal

Couverture souple

ISBN 10 : 1787121488 ISBN 13 : 9781787121485

Editeur : Packt Publishing, 2017

Synopsis

Leverage the power of Python to collect, process, and mine deep insights from social media data

About This Book

• Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
• Analyze and extract actionable insights from your social data using various Python tools
• A highly practical guide to conducting efficient social media analytics at scale

Who This Book Is For

If 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.

What You Will Learn

• Understand the basics of social media mining
• Use PyMongo to clean, store, and access data in MongoDB
• Understand user reactions and emotion detection on Facebook
• Perform Twitter sentiment analysis and entity recognition using Python
• Analyze video and campaign performance on YouTube
• Mine popular trends on GitHub and predict the next big technology
• Extract conversational topics on public internet forums
• Analyze user interests on Pinterest
• Perform large-scale social media analytics on the cloud

In Detail

Social 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

A propos du livre

Présentation de l'éditeur

Leverage the power of Python to collect, process, and mine deep insights from social media data

About This Book

• Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
• Analyze and extract actionable insights from your social data using various Python tools
• A highly practical guide to conducting efficient social media analytics at scale

Who This Book Is For

If 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.

What You Will Learn

• Understand the basics of social media mining
• Use PyMongo to clean, store, and access data in MongoDB
• Understand user reactions and emotion detection on Facebook
• Perform Twitter sentiment analysis and entity recognition using Python
• Analyze video and campaign performance on YouTube
• Mine popular trends on GitHub and predict the next big technology
• Extract conversational topics on public internet forums
• Analyze user interests on Pinterest
• Perform large-scale social media analytics on the cloud

In Detail

Social 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

Biographie de l'auteur

Siddhartha Chatterjee

Siddhartha Chatterjee is an experienced data scientist with a strong focus in the area of machine learning and big data applied to digital (e-commerce and CRM) and social media analytics. He worked between 2007 to 2012 with companies such as IBM, Cognizant Technologies, and Technicolor Research and Innovation. He completed a Pan-European Masters in Data Mining and Knowledge Management at Ecole Polytechnique of the University of Nantes and University of Eastern Piedmont, Italy. Since 2012, he has worked at OgilvyOne Worldwide, a leading global customer engagement agency in Paris, as a lead data scientist and set up the social media analytics and predictive analytics offering. From 2014 to 2016, he was a senior data scientist and head of semantic data of Publicis, France. During his time at Ogilvy and Publicis, he worked on international projects for brands such as Nestle, AXA, BNP Paribas, McDonald's, Orange, Netflix, and others. Currently, Siddhartha is serving as head of data and analytics of Groupe Aeroport des Paris.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1787121488
• ISBN 13: 9781787121485
• Reliure: Broché
• Nombre de pages: 312
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible