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  "author": "Dhanasekar S",
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  "author": "Dhanasekar S",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.1706.05361",
            
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  "doi": "10.57702/glhq4o4s",
            
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  "doi_date_published": null,
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Sudharshan Srinivasan",
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      "extra_author": "Sudharshan Srinivasan",
            
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  "name": 
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scovering-and-visualizing-influential-words-between-twitter-profiles",
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scovering-and-visualizing-influential-words-between-twitter-profiles",
            
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  "notes": "The dataset used in the paper is a collection of 1.1M 
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  "notes": "The dataset used in the paper is a collection of 1.1M 
            
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tweets from Twitter, with approximately 3000 tweets per user from 
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tweets from Twitter, with approximately 3000 tweets per user from 
            
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various domains such as politics, sports, entertainment, and 
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various domains such as politics, sports, entertainment, and 
            
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education.",
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education.",
            
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      "name": "Text Analysis",
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      "name": "Text Analysis",
            
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      "display_name": "Twitter",
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      "display_name": "Twitter",
            
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  ],
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  ],
            
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  "title": "Twigraph: Discovering and Visualizing Influential Words 
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  "title": "Twigraph: Discovering and Visualizing Influential Words 
            
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between Twitter Profiles",
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between Twitter Profiles",
            
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  "version": ""
            
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}
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}