Identifying interesting Twitter contents using topical analysis

Keyphrases

• Tweets 100%
• Topical Analysis 100%
• Latent Topics 66%
• Retweet 33%
• Wide Audience 33%
• Temporal Trends 33%
• Social Media 33%
• Forwarding Scheme 33%
• Information Propagation 33%
• Topic Identification 33%
• User-generated Information 33%
• Personal Interest 33%
• Personal Satisfaction 33%
• Interestingness 33%
• Social Media Platforms 33%
• Information Overload 33%
• Latent Dirichlet Allocation 33%
• Text Stream 33%
• Novel Topic 33%
• Retweeting 33%
• World Data 33%
• Crucial Issues 33%
• Retweet Count 33%
• Sharing Content 33%

Computer Science

• Social Media 100%
• Experimental Result 50%
• Baseline Method 50%
• Temporal Modeling 50%
• Latent Dirichlet Allocation 50%
• Personal Interest 50%