Social Media Community Using Optimized Clustering Algorithm

Social medias are one of the media of communications through which various discussions related to various issues happening in the world take place. There will be good as well as bad things that can be shared through the social media. Political news is one such news that can be shared through the use of such medias. There will be users who can be categorized through such discussions? Yes, it is possible through the use of social media community using optimized clustering algorithm application. This will be one of the applications that the final year students can implement in real time world with great ease.

The information that is expressed by words can affect the sentiment of the people in social media. This application can help in optimizing the information with great ease. So this application can help in classifying the sentiments that is shared in the social medias with great ease. This will be one of the interesting applications that one can work on and implement in real time world with great ease.  In order to classify the users this application will make use of optimized clustering algorithm without any difficulty. People can rely on this application without any difficulty. The features that can be included in the social media community using optimized clustering algorithm application are as follows:

  • Appropriate result: Since the products are decided based on the keywords classified as good or bad, the result will be appropriate.
  • Categorize: This application can help in classifying the people with great ease.
  • Easy access: This application can be accessed anytime and anywhere from the world.
  • Targeted crowd: This application can help in aiming the targeted crowd with great ease.
  • User friendly: This application will be user friendly since the user interface will be simple and easy to understand even by the common man. 
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