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 …

In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …

Reviews expressed in e-commerce websites have formed an important source of
information for both consumers and enterprises. Text sentiment analysis approaches aim to …

Identification and classification of extremist-related tweets is a hot issue. Extremist gangs
have been involved in using social media sites like Facebook and Twitter for propagating …

Recently, Cognitive-based Sentiment Analysis with emphasis on automatic detection of user
behaviour, such as personality traits, based on online social media text has gained a lot of …

Aspect extraction represents a core task of aspect-based sentiment analysis. This study
presents a supervised aspect extraction algorithm for explicit aspect extraction from formal …

Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Purpose Student recruitment and retention are important issues for all higher education
institutions. Constant monitoring of student satisfaction levels is therefore crucial …

The World Wide Web, such as online communities, discussions, product reviews, and blogs,
generate enormous amounts of information in the form of user opinions, feelings, and …

Background/introduction The dawn of the internet opened the doors to the easy and
widespread sharing of information on subject matters such as products, services, events and …