Bonzanini Mastering Social Media Mining with Python

Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis
1. Auflage 2016
ISBN: 978-1-78355-202-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 338 Seiten

No detailed description available for "Mastering Social Media Mining with Python".

Autoren/Hrsg.

Bonzanini, Marco

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Table of Contents - Social Media, Social Data, and Python
- #MiningTwitter: Hashtags, Topics, and Time Series
- Users, Followers, and Communities on Twitter
- Posts, Pages, and User Interactions on Facebook
- Topic Analysis on Google Plus
- Questions and Answers on Stack Exchange
- Blogs, RSS, Wikipedia and Natural Language Processing
- Mining All the Data!
- Linked Data and The Semantic Web

Über Autor(innen)

Bonzanini Marco:

Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a Ph.D. in information retrieval from the Queen Mary University of London. He specializes in text analytics and search applications, and over the years, he has enjoyed working on a variety of information management and data science problems. He maintains a personal blog at https://marcobonzanini.com, where he discusses different technical topics, mainly around Python, text analytics, and data science. When not working on Python projects, he likes to engage with the community at PyData conferences and meetups, and he also enjoys brewing homemade beer.