Stemming is a program that matches the morphological variants of the word to its root word.
Stemming is extensively used as a pre-processing tool in the field of natural language …

In this study, we investigate information retrieval (IR) on Turkish texts using a large‐scale
test collection that contains 408,305 documents and 72 ad hoc queries. We examine the …

Sentiment analysis using stemmed Twitter data from various languages is an emerging
research topic. In this paper, we address three data augmentation techniques namely Shift …

The exponential increase in textual unstructured digital data creates significant demand for
advanced and smart stemming systems. As a preprocessing stage, stemming is applied in …

Purpose–To show that stem generation compares well with lemmatization as a
morphological tool for a highly inflectional language for IR purposes in a best‐match …

Stemming is a process of reducing a derivational or inflectional word to its root or stem by
stripping all its affixes. It is been used in applications such as information retrieval, machine …

Sentiment analysis refers to classify the emotion of a text whether positive or negative. The
studies conducted on sentiment analysis are generally based on English and other …

This article investigates the information retrieval performance of popular search engines on
finding Turkish documents. First of all, five popular search engines (Google, Yahoo, Msn, All …

Stemming is a process that groups morphologically related words into the same class and is
widely used in information retrieval for improving recall rate. Here we study a set of statistical …

We present the results of the first large-scale Turkish information retrieval experiments
performed on a TREC-like test collection. The test bed, which has been created for this …