some of the criteria for the evaluation and vetting of research articles, are the significance of the study, the need for researching the specified topic, and preparing an appropriate title. academic scholars and research authorities have research useful finding to improve research methods and have set certain standards for selecting topic and preparing appropriate titles for scholarly studies....

This paper presents the novel task of best topic word selection, that is the selection of the topic word that is the best label for a given topic, as a means of enhancing the interpretation and visualisation of topic models. We propose a number of features intended to capture the best topic word, and show that, in combination as inputs to a reranking model, we are able to consistently achieve r...

Nowadays, news text information is exploding, and people need more heterogeneous content. Therefore, topic identification needed to help viewers quickly accurately screen filter related their interests save time energy. The Latent Dirichlet Allocation(LDA) model the most commonly used method for identification. optimal number of topics must be specified in advance when using LDA extract previou...

There are numerous news articles coming to news aggregators and important news are selected to be presented on the front-page. There are two types of news selection for the front-page of news aggregators: personalized and public news recommendation (selection). This study examines public news recommendation that aims to satisfy all users’ interest on the front-page. Public news recommendation i...