Open-source software packages for language processing often include stop word lists.
Users may apply them without awareness of their surprising omissions (eg “hasn't” but not …

In this paper analysis of different methods to remove stopwords in Punjabi language have
been done. For organizing unstructured text in order to implement stopwords removal …

The data for the current research work was collected for 42 different International languages
encompassing 3 continents viz. Asia, Europe and South America. The data comprised of …

Emerging digital technologies (EDTs) re-energize quality and safety management during the
intelligent transformation and upgrade of the construction sector. Building an innovative …

A crucial task in sentiment analysis is aspect detection: the step of selecting the aspects on
which opinions are expressed. This step anticipates the step of determining whether the …

One of the major forms of pre-processing in information retrieval and many other text
processing applications is filtering out stopwords. They are ignored by many retrieval …

The development of information retrieval systems and natural language processing tools
has been made possible for many natural languages because of the availability of natural …

We explore and evaluate the effect of different stopword lists (non-corpus-based and corpus-
based) in the information retrieval (IR) tasks with different Indian languages such as Bengali …

Stoplists are lists of words that have been filtered from documents prior to text analysis tasks,
usually words that are either high frequency or that have low semantic value. This paper …

By the advent of new information resources, search engines have encountered a new
challenge since they have been obliged to store a large amount of text materials. This is …