Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

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 …

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 …

The main objective of multilingual sentiment analysis is to analyze reviews regardless of the
original language in which they are written. Switching from one language to another is very …

Scarcity of annotated corpora for many languages is a bottleneck for training finegrained
sentiment analysis models that can tag aspects and subjective phrases. We propose to …

This paper investigates the pragmatic expressions of negative evaluation (negativity) in two
corpora:(i) comments posted online in response to newspaper opinion articles; and (ii) …

The aim of this thesis is to study sentiments in comparable documents. First, we collect
English, French and Arabic comparable corpora from Wikipedia and Euronews, and we …

Multilingual sentiment analysis attracts increased attention as the massive growth of
multilingual web contents. This conducts to study opinions across different languages by …

Studies of user sentiment on social networks like Twitter have formed a steadily growing
research area. But there is still lack of knowledge on whether the discussion clusters tagged …

Natural language processing has become an essential part of the artificial intelligence field
that is used daily in industry and by millions of people. Sentiment analysis as a fundamental …