Topic modeling is used in information retrieval to infer the hidden themes in a collection of
documents and thus provides an automatic means to organize, understand and summarize …

Topic models have been prevalent for decades to discover latent topics and infer topic
proportions of documents in an unsupervised fashion. They have been widely used in …

Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

The Upanishads are known as one of the oldest philosophical texts in the world that form the
foundation of Hindu philosophy. The Bhagavad Gita is the core text of Hindu philosophy and …

Topic models are a popular tool for understanding text collections, but their evaluation has
been a point of contention. Automated evaluation metrics such as coherence are often used …

With the rapid proliferation of social networking sites (SNS), automatic topic extraction from
various text messages posted on SNS are becoming an important source of information for …

Verbatim feedback constitutes a valuable repository of user experiences, opinions, and
requirements essential for software development. Effectively and efficiently extracting …

We apply reinforcement learning techniques to topic modeling by replacing the variational
autoencoder in ProdLDA with a continuous action space reinforcement learning policy. We …

In the burgeoning field of natural language processing, Neural Topic Models (NTMs) and
Large Language Models (LLMs) have emerged as areas of significant research interest …