… 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 …

… in the corpus. The … Another strategy is to simply regard all the category-topics as
candidate-topics. However, we find that the sparsity modeling strategy can improve the classification …

… 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 …

… Hence, text mining can improve commercial trends and … The fundamental steps involved
in text mining are shown in … topics from a corpus such as pachinko allocation model (PAM) …

… In the used topic models (LSA, LDA) each word in the corpus … the field of text classification
using topic modeling methods. … improvement for datasets with equal class distribution over …

… of text data produced in recent years, the need for text mining … research, increasing sentiment
classification accuracy, we … process, we used a corpus LDA model transformation. The LDA …

… Text mining is one of the most significant field in the digital … Topic models are better performing
techniques to extract … extract hidden semantic structures of large corpus. In this paper, we …

… -quality topics is that the corpus must contain a large number of … text aggregation leads to
drastically improved topic modeling … models in terms of short text classification. For each trained …

… We also suggest potential improvement strategies to enhance … We firstly extract topics from
entire patent corpus, and classify … many classification problems, including text categorization, …

… By evaluating and comparing our method with several other … sets and improves the
classification accuracy of other methods … a corpus were directly input into a single-channel …