Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several challenges accompanied the growth of online social networks, such as grouping people with similar interest. Grouping like-minded people is of a high importance. Indeed, it leads to many applications like link prediction and friend or product suggestion, and explains various social phenomenon. ,  present two methods of grouping like-minded people based on their textual posts. Compared to three baseline methods K-Means, LDA and the Scalable Multistage Clustering algorithm (SMSC), our algorithms achieves relative improvements on two corpora of tets.
['Soufiene Jaffali', 'Salma Jamoussi', 'Abdelmajid Ben Hamadou', 'Kamel Smaïli']
I am writing a research paper on a idea Clustering and Classification of Like-Minded People from their Tweets
[{"from": "human", "value": "I am writing a research paper on a idea Clustering and Classification of Like-Minded People from their Tweets"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several challenges accompanied the growth of online social networks, such as grouping people with similar interest. Grouping like-minded people is of a high importance. Indeed, it leads to many applications like link prediction and friend or product suggestion, and explains various social phenomenon. ,  present two methods of grouping like-minded people based on their textual posts. Compared to three baseline methods K-Means, LDA and the Scalable Multistage Clustering algorithm (SMSC), our algorithms achieves relative improvements on two corpora of tets."}]