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Social media has become an essential forum for people to share their thoughts and sentiments owing to the quick rise in mobile technology. Business and political organizations might benefit from understanding public sentiment when making strategic ...

Opinion mining for mobile application (app) reviews aims to analyze people’s comments on app stores to support software engineering activities, particularly software maintenance and evolution. One of the main challenges for software quality ...

The emergence of multimodal data on social media platforms presents new opportunities to better understand user sentiments toward a given aspect. However, existing multimodal datasets for aspect-category sentiment analysis (ACSA) often focus on ...

The COVID-19 pandemic sparked a surge in online discussions, making sentiment analysis challenging due to the prevalence of sarcasm on social media. Identifying sarcastic expressions within the context of COVID-19 conversations poses a unique ...

With the popularity of online shopping, an increasing number of buyers and sellers are basing their decisions on mass online reviews. As an efficient approach to obtain fine-grained sentiment information, cross-domain aspect-based sentiment ...

Autism spectrum disorders (ASD) encompass a range of complex neurodevelopmental conditions characterized by challenges in communication, social interaction, and the presence of repetitive behaviors. The early and accurate diagnosis of ASD is ...

Sentiment analysis has become an important task in natural language processing because it is used in many different areas. This paper gives a detailed review of sentiment analysis, including its definition, challenges, and uses. Different ...

The rapid growth of Internet-enabled applications, such as social media platforms, e-commerce sites, and blogs, has led to a surge in user-generated content. This vast amount of data has made sentiment analysis increasingly valuable. Modern ...

Sentiment analysis (SA) is a technique that employs natural language processing to determine the function of mining methodically, extract, analyse and comprehend people’s thoughts, feelings, personal opinions and perceptions as well as their ...

Comparative Opinion Quintuple Extraction (COQE) is an emerging task focused on identifying comparative relationships within sentence-level comments. COQE involves extracting a quintuple that encapsulates a specific comparative relation, ...

• For the first time proposing an end-to-end framework for the task of COQE.
• Generating all the sentiment quadruples in parallel with set prediction paradigm.
• Introducing a dynamic structural pruning mechanism over the dependency ...

The enhancement of tourism quality in Thailand through the understanding and utilization of foreign tourists' opinions presents challenges due to the extensive volume of data involved. This research proposes a two-fold approach to address this issue: (1) ...

In recent years, sentiment analysis has grown more intricate as the need for deeper insights from text data has expanded. Traditional methods fall short for capturing subtle opinions, giving rise to aspect-oriented sentiment analysis. This study ...

With more and more teaching learning activities being shifted to online mode, the education system has seen a drastic paradigm shift in the recent times. Learner opinion has emerged as an important metric for gaining valuable insights about ...

A key method used in the study of Natural Language Processing (NLP) is sentiment analysis, or emotion analysis, plays a pivotal role in text analysis. Its primary function is to discern and categorize the underlying emotions within textual content,...

The COVID-19 pandemic has sparked numerous discussions on social media platforms, with users sharing their views on topics such as mask-wearing and vaccination. To facilitate the evaluation of neural models for stance detection and premise ...

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Preference elicitation is a crucial step for every recommendation algorithm. In this paper, we present a strategy that allows users to express their preferences and needs through natural language statements. In particular, our natural language ...$\mathrm{}$

The extraction of opinions and their corresponding targets has gained significant interest recently, as it offers valuable insights into Opinion Mining (OM) at a granular level. Opinion and target terms to be extracted by existing OM tasks need ...

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• A novel task focused on extracting implicit targets is introduced.
• Two large-scale datasets were constructed to facilitate the study.
• Three baseline models were proposed; the generation-based model performed best.

In contrast to existing methods which detect sentiment directly from low/high-level features, we construct a large-scale visual repository, namely SentiImgBank, with the aim of providing a benchmarking visual sentiment lexicon. More specially, the ...

The analysis of the textual content of user opinions on social networks about software applications in use can provide valuable information to the development and support teams, in terms of errors, dissatisfactions, new functional requirements, ...

The interest in social media sentiment analysis and opinion mining for public security events has increased over the years. The availability of social media platforms for communication provides a valuable source of information for sentiment ...