The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

In recent years, with the rapid development of Internet technology, online shop** has
become a mainstream way for users to purchase and consume. Sentiment analysis of a …

With the rapid development of Internet technology and social networks, a large number of
comment texts are generated on the Web. In the era of big data, mining the emotional …

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 …

Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

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 …

Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to
extract explicit aspect expressions from online user reviews. We present a new framework …

Sentiment analysis, which refers to the task of detecting whether a textual item (eg, a product
review and a blog post) expresses a positive or negative opinion in general or about a given …