With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

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 …

Sentiment analysis (SA) of natural language text is an important and challenging task for
many applications of Natural Language Processing. Till now, researchers have used …

Aspect sentiment classification has a dependency over the aspect term extraction. The
majority of the existing studies tackle these two problems independently, ie, while …

Sentiment analysis has become an important tool for e-commerce giant to capture user
sentiment towards their product and to exploit such analysis to attract user for buying …

In this paper, we propose a novel hybrid deep learning archtecture which is highly efficient
for sentiment analysis in resource-poor languages. We learn sentiment embedded vectors …

This paper presents the study of sentiment analysis for Amharic social media texts. As the
number of social media users is ever-increasing, social media platforms would like to …

The humongous growth of online-grounded operations, similar to forums and blogs, led to
commentary and reviews related to diurnal conditioning. Sentimental analysis is the process …

Aspect-based sentiment analysis (ABSA) deals with understanding sentiments about
specific attributes. Aspect term extraction (ATE) plays an essential role in aspect sentiment …

Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in
natural language processing (NLP). Individuals, private and government institutions are …