Traditional methods for sentiment analysis, when applied in a monolingual context, often
yield less than optimal results in multilingual settings. This underscores the need for a more …

Sentiment analysis aims to extract people's emotions and opinion from their comments on
the web. It widely used in businesses to detect sentiment in social data, gauge brand …

This paper presents a detailed comparative study of the zero-shot cross-lingual sentiment
analysis. Namely, we use modern multilingual Transformer-based models and linear …

Sentiment analysis is one of the most important areas in natural language processing, which
investigates people's opinions on products, services, and various events. The number of …

The Persian language, also known as Farsi, is distinguished by its intricate morphological
richness, yet it contends with a paucity of linguistic resources. With an estimated 110 million …

This paper deals with cross-lingual sentiment analysis in Czech, English and French
languages. We perform zero-shot cross-lingual classification using five linear …

The growth of the Internet and increased use of social media have led to the production of a
large amount of unstructured data. These data have many variations, such as text, image …

One of the most challenging problems that we may face in natural language processing
tasks is the lack of annotated training datasets. In this paper our goal is to consider the …

Today, data is more valuable to us than gold. When observing the environment, a
substantial amount of data, particularly textual information, can be identified, tagged …

Sentiment analysis of online doctor reviews helps patients to better evaluate and select the
related doctors based on the previous patients' satisfaction. Although some studies are …