Manually determining concepts present in a group of questions is challenging and time-consuming process. However, the process an essential step while modeling virtual learning environment since mapping between using mastery level assessment recommendation engines required. In this article, we investigated unsupervised semantic models (known as topic techniques) to assist computer science teache...

In the business world, communication over customers must be built properly to make it easier for companies find out what want. Support ticket is one of instrument between and companies. Through a support ticket, can respond, complain or ask questions about products with team. Increasing process will increasing volume that should handled by It also has value analysis get intelligence decision. W...

Topic modeling has emerged as a popular learning technique not only in mining text representations, but also in modeling authors’ interests and influence, as well as predicting linkage among documents or authors. However, few existing topic models distinguish and make use of the prior knowledge in regard to the different importance of documents (authors) over topics. In this paper, we focus on ...

Statistical topic modeling is a common tool for summarizing the themes in a document corpus. Due to the complexity of topic modeling algorithms, however, their results are not accessible to non-expert users. Recent work in interactive topic modeling looks to incorporate the user into the inference loop, for example, by allowing them to view a model then update it by specifying important words a...

Topic modeling for information retrieval (IR) has attracted significant attention and demonstrated good performance in a wide variety of tasks over the years. In this paper, we first present a comprehensive comparison of various topic modeling approaches, including the so-called document topic models (DTM) and word topic models (WTM), for Chinese spoken document retrieval (SDR). Moreover, diffe...