Sentiment analysis and opinion mining are studies that analyze people's opinions, feelings,
experiences, and emotions through written language. This is one of the most active research …

Persian text is usually associated with a wide range of important or useless features. This is
the main reason why feature extraction process is one of the difficult tasks in the field of …

With the pervasive growth of web-based businesses, sentiment analysis of online reviews
has attracted increasing interest among text mining experts. The problem is complicated …

The Kurdish language is an Indo-European language spoken in Kurdistan, a large
geographical region in the Middle East. Despite having a large number of speakers, Kurdish …

There are three factors involved in text classification: the classification model, the similarity
measure, and the document representation. In this chapter, we will focus on document …

Özet Bu çalışmada kıymetli taşların tarihi süreç içinde siyasal/sosyal/askeri ve benzeri
olaylarla ilişkisi N-gram ile analiz edilmiştir. Kıymetli taşların keşfi insanlık ile yaşıt olup, belki …

This paper address automatic keyword extraction in Persian and English text documents.
Generally, for keyword extraction in a text, a weight is assigned to each token and words …

ABSTRACT Problem of Research: Human health is a product of the interaction between
environmental conditions and genetic structure. The person is affected by many …

In languages with high word inflation such as Arabic, stemming improves text retrieval
performance by reducing words variants. We propose a change in the corpus-based …

Most data on the Web is in the form of text or image. Finding desired data on the Web in a
timely and cost-effective way is a problem of wide interest. In the last several years, many …