Social Data Analysis Idea is Great Source of Income

Twitter tweets are available for public use. This data is vast and thus, can be actionable. Once you analyse the data, you can create different outputs which can worth. Thus, it can prove to be a great source of income. 

Income Ideas

Different areas which can fetch you lot of money are:
  1. Tourist Spot Identification
  2. Marketing Target User - base via follower - following relationships
  3. Identifying Behaviors from Patterns of Tweets
  4. Matching interest of people by using tweets and cookies history
  5. Identifying spams and trends in city

Technologies Required

Technology stack is one of the most important area without which implementation is not possible. Although PIG, HIVE, FLUME, SQOOP are major tools when big data is considered, but for Web Data Mining or to extract tweets from Twitter, following tools are usable if you are familiar with programming
  • Python or R: Scripting language to extract data from Twitter
  • Twitter API: Application Program Interface between Python and Twitter
  • MongoDB: Database, which is used to store data
  • JSON: Understanding of JSON format which is basis of storage in MongoDB
  • PyScriptor: Editor

Instance

One of the major instance developed so far is sentiment analysis tool.
This instance is named as 
Next, comes the era of Social Data Analysis

Tag Board is just a start. Many companies are in queue to earn heavy bucks using the same trend.


Share your views regarding the same.
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References
1.  L. Ferrari, A. Rosi, M. Mamei, and F. Zambonelli, “Extracting urban patterns from location-based social networks,” Proc. LBSN ’11, 2011, pp. 9–16

2.  S. Ardon, A. Bagchi, A. Mahanti, A. Ruhela, A. Seth, R.M. Tripathy, and S. Triukose, “Spatio-temporal and events based analysis of topic popularity in twitter”, Proceedings of the twenty-second ACM International Conference on Information & Knowledge Management, CIKM ’13, pp.  219–228, New York, NY, USA, 2013. ACM.

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