Topic Modeling of legal texts is a challenging task because of its complicated language
structures, and technical features. Recently, there has been a big boost in the number of …

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 …

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 …

Data is not meaningful unless its information could be extracted. In every second in this
world, we are generating millions of data over the Internet in different form. Most of them are …

This research is an endeavor to combine deep-learning-based language modeling with
classical topic modeling techniques to produce interpretable topics for a given set of …

Topic modeling automatically infers the hidden themes in a collection of documents. There
are several developed techniques for topic modeling, which are broadly categorized into …

This article presents a new conceptual approach for the interpretative topic modeling
problem. It uses sentences as basic units of analysis, instead of words or n-grams, which are …

Topic modeling automatically infers the hidden themes in a collection of documents. There
are several developed techniques for topic modeling, which are broadly categorized into …