This generation, people depend on multiple resources to stay up-to-date whether be it social
media or a new product available on the market. To be able to develop a model that can …

Opinion summarization has gained interest among researchers due to the usefulness and
challenges in extracting insights from the unprecedented amount of opinionated data …

Unsupervised opinion summarization is the technique of automatically generates
summaries without gold reference, and the summaries that reflects aspects of information …

Huge volume of opinions is posted daily on the internet due to the rapid growth of merchant
sites, social media sites and other discussion forums. This contribution creates an …

Multi-modal opinion summarization aims at automatically generating summaries of products
or businesses from multi-modal reviews containing text, image and table to present clear …

Opinion summarization is expected to digest larger review sets and provide summaries from
different perspectives. However, most existing solutions are deficient in epitomizing …

Recent advances in text autoencoders have significantly improved the quality of the latent
space, which enables models to generate grammatical and consistent text from aggregated …

As more than 70$\% $ of reviews in the existing opinion summary data set are positive,
current opinion summarization approaches are reluctant to generate negative summaries …

Due to the extremely huge amount of text available on the internet today, there is a need for
a method that helps us gather concise and quality information according to our query …

Opinion summarization can facilitate user's decision-making by mining the salient review
information. However, due to the lack of sufficient annotated data, most of the early works …