One of the most important phases in text processing is stemming, whose aim is to aggregate
all variations in a word into one group to aid natural language processing. The …

Stemming is a technique used to reduce inflected and derived words to their basic forms
(stem or root). It is a very important step of pre-processing in text mining, and generally used …

Search and indexing systems bear a significant quality called word stemming, is lump of
content excavating requests, IR frameworks and natural language handling frameworks. The …

Stemming is the main step used for handling the morphologically rich languages such as
Arabic. It is usually used in several fields such as Natural Language Processing, Information …

In the recent past, the world has been witnessing a steady increase in the area of natural
language processing owing to the spread of the internet. However, attempts and efforts …

Stemming is the process of map** various inflections of a word to its base form. Stemmer
is an essential component of Information Retrieval (IR) systems and different Natural …

Information retrieval IR is the process of finding information (generally documents) that
matches the needs of the user. One way to improve the search effectiveness, as well as the …

Sažetak Extracting word roots in Arabic language is very problematic due to the specific
morphological and structural changes in the language. To address this problem, several …

The Internet is a significant source of textual data, with users generating vast amounts of
information through social media and news agencies daily. The extraction of meaningful …

Over the last few years, text summarization has become essential due to the exponential
growth of onlineand offline textual data on the web and on other applications. Various online …