The surge of pre-trained language models has begun a new era in the field of Natural
Language Processing (NLP) by allowing us to build powerful language models. Among …

Data preprocessing is among the principal stages in virtually all text-based tasks. In this
light, recent approaches have employed word embeddings in the majority of text-based …

In this paper, a low-cost Persian Sentiment Analysis is performed without any Persian
training data. A cross-lingual method is proposed to overcome the shortage of labeled …

NLP (Natural Language Processing) has become the focus of research in recent years. NLP
tasks have been implemented in various sectors and fields. The chatbot system is one of the …

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 …

Word Embeddings models have achieved impressive results for a variety of NLP tasks in the
last few years which, consequently, led to the increasing interest in creating more adequate …

This paper provides a comparative analysis of cross-lingual word embedding by studying
the impact of different variables on the quality of the embedding models within the …

This paper introduces the hmBlogs corpus for Persian, as a low resource language. This
corpus has been prepared based on a collection of nearly 20 million blog posts over a …

Ranking plays a crucial role in information retrieval systems, especially in the context of web
search engines. This article presents a new ranking approach that utilizes semantic vectors …

The recent rise in social media use has many benefits, such as more connectivity and
access to more diverse information, communities, and resources for demonstrating support …