ANLY482 Team wiki: 2015T2 TeamROLL Project Overview
Proposal | Midterm | Final |
However with limited resources, SGAG could not conduct a comprehensive analysis and harness on the big data available to them. This project aims to uncover valuable insights on SGAG’s content attributes in order to achieve audience growth. Using data gathered from SGAG’s facebook page for the year 2015, the team hopes to firstly, conduct exploratory data analysis so as to identify overall performance trends. Next, the team will be performing cluster analysis followed by sentiment analysis, topic analysis and content analysis. Lastly, the team will be building a regression model, which includes findings derived from the analysis conducted, in order to predict better performing future posts. With the insights gained, the team will be providing recommendations to enable data driven content creation, thus allowing SGAG to achieve their aim of greater growth.
About SGAG
Project Motivation
- What are the characteristics of a “great” post? SGAG has so far thrived on an intuitive understanding of their customer's content preferences. However, SGAG does not have a concrete or clear picture of the kinds of attributes which they can work on to make a specific post a "great" one.
- What is audience sentiment on "viral" posts? Are they reacting in a positive or negative manner? SGAG is concerned that "viral" posts become popular
because they receive a lot of "hate", which goes against their content philosophy which is to make people "laugh", a positive emotion. Currently, they do not have easy visibility on this aspect.