Python Social Media Analytics
Siddhartha Chatterjee, Michal Krystyanczuk
- 312 pages
- English
- ePUB (adapté aux mobiles)
- Disponible sur iOS et Android
Python Social Media Analytics
Siddhartha Chatterjee, Michal Krystyanczuk
Ă propos de ce livre
Leverage the power of Python to collect, process, and mine deep insights from social media dataAbout This Bookâą Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and moreâą Analyze and extract actionable insights from your social data using various Python toolsâą A highly practical guide to conducting efficient social media analytics at scaleWho This Book Is ForIf 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 Learnâą Understand the basics of social media miningâą Use PyMongo to clean, store, and access data in MongoDBâą Understand user reactions and emotion detection on Facebookâą Perform Twitter sentiment analysis and entity recognition using Pythonâą Analyze video and campaign performance on YouTubeâą Mine popular trends on GitHub and predict the next big technologyâą Extract conversational topics on public internet forumsâą Analyze user interests on Pinterestâą Perform large-scale social media analytics on the cloudIn DetailSocial 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. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.
Foire aux questions
Informations
Scraping and Extracting Conversational Topics on Internet Forums
Scope and process
- Data crawling.
- Data pre-processing.
- Topic modelling and interpretation.