… from a topic-consistent corpus for topic modeling and use the … We report macro-averaging
precision, recall and F1 as the … TWE models with our method specially not together with other …

… significantly better in terms of classification accuracy than other … On the other hand, we can
use topic models, which consider … of using topic models to represent text in order to improve …

… model with the GPU model, we propose two more effective … external to the given short text
corpus, we propose to exploit the … all models in terms of topic coherence and text classification. …

… more precise and coherent topics from short text documents. FTM performs better on classification
and clustering tasks in text mining … considered for medical text corpus and Indonesian …

… to model collections of discrete data, such as a text corpus [8]. … representation schemes
of text mining applications. … better performance than the other compared configurations. …

… LDA topic model to improve the quality of text classification. … corpus, our method improves
the F1 value, accuracy, recall … the best topic of the LDA topic model, but more and more works …

… new topic model by explicitly incorporating additional word co… corpus would significantly
enhance topic modeling on short … all models in terms of topic coherence and text classification. …

… In this paper, we proposed an improved short text classification … In addition, we present a
novel topic similarity measure … [13] use Gibbs Sampling method to extract topics in the corpus, …

… , applied mostly to text classification and clustering scenarios, … -documents to improve topic
modeling for short text, namely … short text document corpus as input for the topic modeling …

… topic drawn from a mixture of topics over the whole corpus. … text topic modeling to improve
the performance of these tasks. … of topic modeling using text classification. Here, we choose …