Twitter Topic Modeling by Tweet Aggregation
Asbjørn Ottesen Steinskog, Jonas Foyn Therkelsen, Björn Gambäck · DSpace repository (University of Tartu) · 2017
Conventional topic modeling schemes, such as Latent Dirichlet Allocation, are known to perform inadequately when applied to tweets, due to the sparsity of short documents.To alleviate these disadvantages, we apply several pooling techniques, aggregating similar tweets into individual documents, and specifically study the aggregation of tweets sharing authors or hashtags.The results show that aggregating similar tweets into individual documents significantly increases topic coherence.