Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …

The ever-increasing number of Internet users and online services, such as Amazon, Twitter
and Facebook has rapidly motivated people to not just transact using the Internet but to also …

SAMAR is a system for subjectivity and sentiment analysis (SSA) for Arabic social media
genres. Arabic is a morphologically rich language, which presents significant complexities …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Sentiment analysis is the natural language processing task dealing with sentiment detection
and classification from texts. In recent years, due to the growth in the quantity and fast …

Sentiment analysis is a widely studied NLP task where the goal is to determine opinions,
emotions, and evaluations of users towards a product, an entity or a service that they are …

Abstract Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task,
which aims to detect target-aspect-sentiment elements in a sentence. Most of the existing …

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 …

Supervised learning has attracted much attention in recent years. As a consequence, many
of the state-of-the-art algorithms are domain dependent as they require a labeled training …

Issue tracking systems allow users to report bugs. Bug reports often contain product name,
product component, description, and severity. Based on such information, triagers often …