Modeling legal text is a difficult task because of its unique features, such as lengthy texts,
complex language structures, and technical terms. During the last decade, there has been a …

Topic Modeling approaches face difficulties in processing legal texts because of their unique
characteristics, such as the length of the texts and the specialized terminology used within …

Legal text processing is a challenging task for modeling approaches due to the peculiarities
inherent to its features, such as long texts and their technical vocabulary. Topic modeling …

A drawback of topic modeling is the lack of consistent sentence frequency within each topic.
The outcome of this event manifests as varying levels of topic coherence and topic diversity …

The increasing number of articles available in the digital library will require quite a long time
and accuracy in sorting articles according to needs. The use of artificial neural networks in …

The digital world is growing rapidly in every dimension. Legal case information and
judgements are now available online and are becoming a big problem because of their …

This paper presents a work in generating Weighted Vector for each Concept in Indonesian
Translation of Quran (ITQ). This task is done in aiming to provide a resource needed in …

Topic modeling refers to a range of algorithms in natural language processing that gives us
an insight into the 'latent'semantic topics or patterns in a collection of documents. These …

Topic modeling techniques are popularly used for document clustering, large-scale text
analysis, information extraction from unstructured text documents, feature selection from …

Legal text processing is a challenging task for modeling approaches due to the peculiarities
inherent to its features, such as long texts and their technical vocabulary. Topic modeling …