• Pringal Gigaiya
• Dhaval Nimavat

People utilise social media to research topics and make judgments based on what others have to say. A broad range of perspectives are shared through blogs, newsgroups, and other opinion-focused websites. As a result, consumers have a hard time relating to all of those points of view. The present opinion summary study focuses on distinguishing positive and negative viewpoints based on a set of criteria or characteristics. These viewpoints contain both positive and negative opinions on the product or issue at hand. The contrastive summary is built using basic level similarity metrics. This research tackles the problem by presenting a contrastive opinion assessment that shows both comments and views at the same time, allowing readers to make a comparison the two patterns of thinking. It enables correct viewpoint comparison within the context of a contrastive summary, therefore facilitates decision-making. The primary goal is to improve advanced sentence semantic similarity results while also summarising the counter-argument.

Contradictory opinions, Contrastive summary, Advanced Similarity Function, Contrasting opinions

"Using the Advanced Similarity Function to Create a Summary of Divergent Opinions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g201-g207, April-2022, Available :http://www.jetir.org/papers/JETIR2204631.pdf

"Using the Advanced Similarity Function to Create a Summary of Divergent Opinions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg201-g207, April-2022, Available at : http://www.jetir.org/papers/JETIR2204631.pdf