Difference between revisions of "ANLY482 AY2017-18T2 Group30 LDA-Blog Post"
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| − | ! style="font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #8c8d94" width="150px"| [[ANLY482_AY2017-18T2_Group30 LDA-Blog Post| <font color="#347cc4" size=2 face="Century Gothic">Blog Post]] | + | ! style="font-size:15px; text-align: center; border-top:solid #ffffff; border-bottom:solid #8c8d94" width="150px"| [[ANLY482_AY2017-18T2_Group30 LDA-Blog Post| <font color="#347cc4" size=2 face="Century Gothic">LDA - Blog Post]] |
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Revision as of 15:45, 11 February 2018
| HOME | ABOUT US | PROJECT OVERVIEW | PROJECT FINDINGS | PROJECT MANAGEMENT | DOCUMENTATION | MAIN PAGE |
| Facebook Post | Facebook Video | Youtube | LDA - Blog Post |
|---|
Data Source
To retrieve data from the company's posts, we used Scrapy, a fast and powerful open-sourced web-scraper to extract data from the blog. We collected data from the beginning of the first blog post, with the following information:
- Timestamp
- Author(s)
- Headline
- Category
- URL
- Tags
Data Preparation
Exploratory Data Analysis
Final Application: Learning Dashboard
