Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

This paper proposes AEDA (An Easier Data Augmentation) technique to help improve the
performance on text classification tasks. AEDA includes only random insertion of …

We propose a method based on neural networks to identify the sentiment polarity of opinion
words expressed on a specific aspect of a sentence. Although a large majority of works …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

We propose a novel framework based on neural networks to identify the sentiment of
opinion targets in a comment/review. Our framework adopts multiple-attention mechanism to …

Growth in the area of opinion mining and sentiment analysis has been rapid and aims to
explore the opinions or text present on different platforms of social media through machine …

Sentiment analysis is a fast growing area of research in natural language processing (NLP)
and text classifications. This technique has become an essential part of a wide range of …

Deep learning techniques for Sentiment Analysis have become very popular. They provide
automatic feature extraction and both richer representation capabilities and better …