Recent evolutions in the e-commerce market have led to an increasing importance attributed
by consumers to product reviews made by third parties before proceeding to purchase. The …

Over the years, the attention of the scientific world towards the techniques of sentiment
analysis has increased considerably, driven by industry. The arrival of the Google BERT …

Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …

The exponential growth of the internet and a multi-fold increase in social media users in the
last decade have resulted in a massive growth of unstructured data. Aspect-Based …

Sentiment analysis furnishes consumer concerns regarding products, enabling product
enhancement development. Existing sentiment analysis using machine learning techniques …

This paper analyses the capabilities of different techniques to build a semantic
representation of educational digital resources. Educational digital resources are modeled …

Aspect level sentiment analysis is a fine grained task in sentiment analysis which identifies
the product features from an opinionated piece of text and maps the sentiment towards each …

Opinion target extraction (OTE) is the extraction of explicit expressions related to entity
aspects interpreted with subjective attributive words in the review sentences using …

Online clustering of short text streams has become significant due to the popularity of news
and social media platforms. The objective of online clustering is to maintain active topics …

This work investigates the use of supervised learning algorithms to predict temperatures in
an experimental test bench, which was initially designed for studying nucleate boiling …