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Mastering Social Media Mining with Python
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Summary
ThisbookisforintermediatePythondeveloperswhowanttoengagewiththeuseofpublicAPIstocollectdatafromsocialmediaplatformsandperformstatisticalanalysisinordertoproduceusefulinsightsfromdata.ThebookassumesabasicunderstandingofthePythonStandardLibraryandprovidespracticalexamplestoguideyoutowardthecreationofyourdataanalysisprojectbasedonsocialdata.
目錄(69章)
倒序
- 封面
- 版權(quán)頁
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Social Media Social Data and Python
- Getting started
- Social media - challenges and opportunities
- Python tools for data science
- Processing data in Python
- Building complex data pipelines
- Summary
- Chapter 2. #MiningTwitter – Hashtags Topics and Time Series
- Getting started
- The Twitter API
- Collecting data from Twitter
- Analyzing tweets - entity analysis
- Analyzing tweets - text analysis
- Analyzing tweets - time series analysis
- Summary
- Chapter 3. Users Followers and Communities on Twitter
- Users friends and followers
- Mining your followers
- Mining the conversation
- Plotting tweets on a map
- Summary
- Chapter 4. Posts Pages and User Interactions on Facebook
- The Facebook Graph API
- Mining your posts
- Mining Facebook Pages
- Summary
- Chapter 5. Topic Analysis on Google+
- Getting started with the Google+ API
- Embedding the search results in a web GUI
- Notes and activities from a Google+ page
- Text analysis and TF-IDF on notes
- Summary
- Chapter 6. Questions and Answers on Stack Exchange
- Questions and answers
- Getting started with the Stack Exchange API
- Working with Stack Exchange data dumps
- Text classification for question tags
- Summary
- Chapter 7. Blogs RSS Wikipedia and Natural Language Processing
- Blogs and NLP
- Getting data from blogs and websites
- NLP Basics
- Summary
- Chapter 8. Mining All the Data!
- Many social APIs
- Mining videos on YouTube
- Mining open source software on GitHub
- Mining local businesses on Yelp
- Building a custom Python client
- Summary
- Chapter 9. Linked Data and the Semantic Web
- A Web of Data
- Mining relations from DBpedia
- Mining geo coordinates
- Summary 更新時間：2021-07-14 10:49:27
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