Tools for Natural Language Processing work using linguistic resources, that are language-
specific. The complexity of building such resources causes many languages to lack them …

Abstract Natural Language Processing tools use language-specific linguistic resources, that
might be unavailable for many languages. Since manually building them is complex, it …

Stopwords are meaningless, non-significant terms that frequently occur in a document. They
should be removed, like a noise. Traditionally, two different approaches of building a stoplist …

In this paper, an automatic generation of domain-specific stopwords from a large labeled
corpus is proposed. In the majority of text mining tasks, stopwords are removed according to …

Automatic extraction of domain-specific stopword list from a large labeled corpus is
discussed. Most researches remove the stopwords using a standard stopword list, and high …

While multimedia digital documents are progressively spreading, most of the content of
Digital Libraries is still in the form of text, and this predominance will probably never be …

The rapid growth of the Indonesian language content on the Internet has drawn researchers'
attention. By using natural language processing, they can extract high-value information …

To alleviate the resource scarcity and improve the robustness in loanword identification, the
current study proposes a novel loanword identification method based on Wikipedia. In this …

One of the most widely used approaches in natural language processing and information
retrieval is the so-called bag-of-words model. A common component of such methods is the …

When working with Text Classification (TC), often the term" stopword" can be heard. Words
in a document that are frequently occurring, but meaningless in terms of Information …