Online reviews provide consumers with valuable information that guides their decisions on a
variety of fronts: from entertainment and shop** to medical services. Although the …

Aspect-based sentiment analysis (ABSA) is the sub-field of natural language processing that
deals with breaking or splitting texts into aspects and then classification into sentiments like …

Many users of e-commerce portals commonly use customer reviews for making purchase
decisions. But a product may have tens or hundreds of diverse reviews leading to …

Tourism for a local city is one of the most important key industries. The Web contains much
information for the tourism, such as impressions and sentiments about sightseeing areas …

Sentiment Summarization is an automated technology that extracts important features of
sentences and then reorganizes selected words or sentences by their aspect class and …

In the present-day scenario, selecting a good product is a cumbersome process. The
reviews from the shop** sites may confuse the user while purchasing the product. It …

Currently, reviews on the Internet contain abundant information about users and products,
and this information is of great value to recommendation systems. As a result, review-based …

Aspect Term Extraction (ATE) detects opinionated aspect terms in sentences or text spans,
with the end goal of performing aspect-based sentiment analysis. The small amount of …

While choosing among several products, users may look up reviews from each product they
are considering. Due to the large number of reviews of products, selecting representative …

Currently, there are many online review web sites where consumers can freely write
comments about different kinds of products and services. These comments are quite useful …