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 …

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

Deep learning has emerged as an effective solution to various text mining problems such as
document classification and clustering, document summarization, web mining, and …

Latent Dirichlet allocation (LDA) is one of the probabilistic topic models; it discovers the
latent topic structure in a document collection. The basic assumption under LDA is that …

With the advancements in internet facilities, people are more inclined towards the use of
online services. The service providers shelve their items for e-users. These users post their …

In today's scenario online reviews on various digital platforms plays a vital role for customers
to buy products. Based on the reviews and ratings by the consumer on E-commerce platform …

Recently, recurrent neural networks (RNN) have achieved great success in the aspect-
based sentiment classification task. Existing approaches always focus on capture the local …

La extracción de aspectos en opiniones textuales es una tarea muy importante dentro del
análisis de sentimientos o minería de opiniones, que permite lograr mayor exactitud al …

Aspect-based sentiment analysis (ABSA) is described as one of the most vibrant research
areas over the last decade. However, due to the exponential increase in aspect-based …

Sentiment analysis is gathering opinion keywords, such as aspects, opinions, or features-
and figuring out their semantic perspective relations. More specifically, aspect-based …