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 …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

The rapid growth of electronic documents are causing problems like unstructured data that
need more time and effort to search a relevant document. Text Document Classification …

The advent of different social networking sites has enabled anyone to easily create, express,
and share their ideas, thoughts, opinions, and feelings about anything with millions of other …

Aspect-based sentiment classification aims to predict the sentiment polarity of an aspect
term in a sentence instead of the sentiment polarity of the entire sentence. Neural networks …

Cognitive computing is an interdisciplinary research field that simulates human thought
processes in a computerized model. One application for cognitive computing is sentiment …

In recent years, unethical behavior in the cyber-environment has been revealed. The
presence of offensive language on social media platforms and automatic detection of such …

Recently, a huge amount of online consumer reviews (OCRs) is being generated through
social media, web contents, and microblogs. This scale of big data cannot be handled by …

Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …