Book Image

Mastering Social Media Mining with Python

By : Marco Bonzanini
Book Image

Mastering Social Media Mining with Python

By: Marco Bonzanini

Overview of this book

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.
Table of Contents (10 chapters)

Questions and answers


Looking for answers for a particular information need is one of the main uses of the Web. Over time, technology has evolved and Internet users have been changing their online behaviors.

The way people look for information on the Internet nowadays is quite different from 15-20 years ago. Back in the early days, looking for answers mainly meant using a search engine. A study on query logs from a popular search engine in the late 90s (Searching the Web: The Public and Their Queries by Amanda Spink and others, 2001) has shown that in those days, a typical search was very short (on average, 2.4 terms).

In recent years, we started experiencing a transition from short keyword-based search queries to longer conversational queries (or should we say, questions). In other words, search engines have been moving from keyword matching to Natural Language Processing (NLP). For example, Figure 6.1 shows how Google tries to autocomplete a query/questions from the user. The system uses...