Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …

In this paper, we describe our approach to utilize pre-trained BERT models with
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …

Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …

Customer online reviews of hotels have significant business value in the e-commerce and
big data era. Online textual reviews have an open-structured form, and the technical side …

Twitter sentiment analysis technology provides the methods to survey public emotion about
the events or products related to them. Most of the current researches are focusing on …

This paper aims to demonstrate how the huge amount of Social Big Data available from
tourists can nurture the value creation process for a Smart Tourism Destination. Applying a …

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 …

With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Sentiment analysis and opinion mining are valuable for extraction of useful subjective
information out of text documents. These tasks have become of great importance, especially …