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Project Motivation
Twitter, an online social network that allows users to post short text messages (tweets) of up to 140 characters have been gaining popularity in the recent years. The 140 characters restriction has encourages users to construct a focused updated regularly. As of 2013, there are more than 500 million Tweets a day on average. With this huge amount of data, stakeholders will be able to get insight into their area of interest.
In the current stiff competition, companies who are targeting mass market needs to be able to utilize social media analytics to understand the “buzz” in Twitter. The ability to do so will aid them in making better decisions by monitoring their position and also their competitors.
Social Media Analytics Framework
Project Objective
The solution shall be an independent system and support the following key capabilities:
- Data Gathering: Building of data collection point by scanning and retrieving data from Twitter
- Analytics: Analysis of various key components and other relevant information using various customized code
- Visualization: Displaying key objectives results in various form for better users’ understanding
In this report, I will help Apple to find some insight regarding the recently launch iPhone6 to the market. In doing so, a few key questions will be answered:
- What are the general insight of Twitter of iPhone keywords
- What are the topics around iPhone?
- What are the user sentiment around iPhone and Samsung?
- How does the topic evolve over time?
Possible Stakeholders
- Defence Ministry: Identify and monitor possible terrorism activities in the country
- Marketing: Improve Branding and Marketing, Tap into New Markets, Gain a competitive advantage
- Public Figures: Popularity over time
- Policy Makers: Monitor the public response regarding new policy or possible unhappiness can be minimized through corrective measures
Primary Project Scope
Secondary Project scope
Identifying hot keywords that will be trending in the next course of time.
Various intensive researches have been done to analyze the problem. One of the major key findings is done by MIT Researchers, which is able to predict the keyword trend. However, one major constraint is the data collection, as training data is needed to build the model. 500 keywords that became trend and 500 keywords that fail to trends are used in the model. The researches are able to get all the data necessary build the model as they are part of Twitter institute.
In order to achieve similar things, the difficulty of getting data from Twitter needs to be overcome. However, since the data collection should not be part of this Analytics Practicum, this feature will be treated as secondary scope after the primary scope is done.
References
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