The scientific research process generally starts with the examination of the state of the art,
which may involve a vast number of publications. Automatically summarizing scientific …

Preprocessing is an essential task for sentiment analysis since textual information carries a
lot of noisy and unstructured data. Both stemming and stopword removal are pretty popular …

Background In recent years, online pharmacies have been accepted by increasingly more
consumers, and the prospects for online pharmacies are optimistic. This article explores the …

Stemming is one of the most effective techniques, which has been adopted in many
applications, such as machine learning, machine translation, document classification (DC) …

Automatic text summarization is generally considered as a challenging task in the NLP
community. One of the challenges is the publicly available and large dataset that is relatively …

Abstract Design for Remanufacturing (DfRem) plays an important role in remanufacturing,
which promotes the product remanufacturability, and enhance the efficiency of …

Abstract 4D printing refers to a breakthrough technology combining additive manufacturing
(AM) and smart materials (SMs) under the effect of an energy stimulation. From the …

With the noteworthy expansion of textual data sources in recent years, easy, quick, and
precise text processing has become a challenge for key qualifiers. Automatic text …

Nowadays, there is an abundance of information available from both online and offline
sources. For a single topic, we can get more than hundreds of sources containing a wealth …

Stop words are very important for information retrieval and text analysis investigation. This
study aimed to automatically analyzed and detect stop words in texts in Uzbek language …