This study analyzed news articles using a text mining technique to analyze the issues of 2022 revised curriculum policy. Buzz analysis identify media attention and keyword frequency Latent Dirichlet Allocation (LDA), classic in topic modeling, was used policy issues. The results buzz revealed following: Firstly, major domestic

Keyword search is a popular technique which allows querying multiple data sources on the web without having full knowledge of their structure. This flexibility comes with a drawback: usually, even though a large number of results match the user’s request only few of them are relevant to her intent. Since data on the web are often in tree-structured form, several approaches have been suggested i...

The prediction of protein function is a key task in bioinformatics and a variety of techniques and data sets have been employed for that purpose. Using the popular keyword recovery measure, which is based on standard keyword annotations of the SwissProt database, this paper presents a comparative study of the information provided for protein function prediction by different types of data sets: ...

Keyword search on data represented as graphs, is receiving lot of attention in recent years. Initial versions of keyword search systems assumed that the graph is memory resident. However, there are applications where the graph can be much larger than the available memory. This led to the development of search algorithms which search on a smaller memory resident summary graph (supernode graph), ...

In the current information age, the dominant method for information search is by providing few keywords to a search engine. Keyword search is currently one of the most important operations in search engines and numerous other applications. In this paper we propose a new text indexing technique for improving the performance of keyword search. Our proposed technique not only speeds up searching o...

In software engineering and development, we are expected to utilize the technique of abstraction. Yet, it is one of the most confounding topics. In this paper we explore the concept of abstraction as applied to software engineering, define and discuss a conceptual metric called levels-ofabstraction, LOA, and show some attributes of LOA. Keyword: software, abstraction, measurement

We study the problem of imposing conversational goals/keywords on open-domain agents, where agent is required to lead conversation a target keyword smoothly and fast. Solving this enables application agents in many real-world scenarios, e.g., recommendation psychotherapy. The dominant paradigm for tackling 1) train next-turn classifier, 2) keyword-augmented response retrieval model. However, ex...