As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …

Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …

Document level sentiment classification remains a challenge: encoding the intrinsic relations
between sentences in the semantic meaning of a document. To address this, we introduce a …

This study analyzes how customers' online review sentiments (positive, negative, and
neutral valence) and lodging experience vary across luxury, mid-tier, and low-tier hotels …

As a new communication paradigm, social media has promoted information dissemination in
social networks. Previous research has identified several content-related features as well as …

Social media are used as main discussion channels by millions of individuals every day.
The content individuals produce in daily social-media-based micro-communications, and the …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

Sentiment analysis or opinion mining is the computational study of people's opinions,
appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and …

Unsupervised vector-based approaches to semantics can model rich lexical meanings, but
they largely fail to capture sentiment information that is central to many word meanings and …