Stemming is the process to convert words into their root by stemming algorithm. It one of main processes in text analytics where data needs go through before proceeding further analysis. Text a very common practice nowadays that practiced toanalyze contents from various sources such as mass media and social. In this study, two different techniques; Porter Lancaster are evaluated. The difference...

It is commonly accepted that time is a critical issue in news recommendation. As opposed to book or movie recommendations, news articles have extremely short life spans and should normally not be recommended after a few days. Most current news recommender systems use time as a decaying factor in ratings or just cut off older articles according to some simple mechanism. An experiment done on fou...

Keyphrases extracted from articles are beneficial in helping people boost browsing speed, but unfortunately keyphrases are rarely available for news articles due to the high expense of labor and time for manual annotation. This paper proposes a practical approach to extracting keyphrases for Chinese news articles using the TextRank and query log knowledge. Previous work is word based, while our...

The foundation for the research of summarization in Czech language was laid by work Straka et al. (2018). They published SumeCzech, a large news-based dataset, and proposed several baseline approaches. However, it is clear from achieved results that there space improvement. In our work, we focus on impact named entities news articles. First, annotate SumeCzech with entities. We propose new metr...

In scientific publications, citations allow readers to assess the authenticity of presented information and verify it in original context. News articles, however, for various reasons do not contain only rarely refer further sources. As a result, often cannot as its origin is unclear. times “fake news,” echo chambers, centralization media ownership, lack transparency regarding origin, trustworth...

Identifying topics in news, tracking their temporal dynamics, and understanding how different media sources cover them have important theoretical and practical implications for journalism researchers, producers, and consumers. The explosive growth of online news sources, however, suggests that scalable approaches to topical analysis are needed. We introduce our ongoing efforts to enable large-s...