The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

With the increase of online customer opinions in specialised websites and social networks,
automatic systems to help organise and classify customer reviews by domain-specific aspect …

Fine-grained sentiment analysis for online reviews plays more and more important role in
many applications. The key techniques here are how to efficiently extract multi-grained …

Aspect extraction is an important task in sentiment analysis. Topic modeling is a popular
method for the task. However, unsupervised topic models often generate incoherent …

Hierarchical topic modeling aims to discover latent topics from a corpus and organize them
into a hierarchy to understand documents with desirable semantic granularity. However …

Aspect-level sentiment analysis or opinion mining consists of several core sub-tasks: aspect
extraction, opinion identification, polarity classification, and separation of general and aspect …

Sentiment Analysis is a task of computationally recognizing and contextualizing opinions
stated in a text. We mainly assess whether the writer's attitude towards a specific topic, or a …

The availability of electronic word-of-mouth, online consumer reviews, is increasing rapidly.
Users frequently look for important aspects of a product or service in the reviews. They are …