Digital Platform for Chinese Ancient Arts Based on Sentimental Analysis

Abstract

Ancient Artwork has not been adequately researched. It is only essential for future researchers interested in the same topic to have a reference point to help ease their research challenges. After the pandemic, all the countries are searching for their history and saving their arts and culture because of their cultural proof. At that time, every piece of art is important, like art, dress, dance, painting, statue, song, etc. because it reflects the language of their country. At present they are searching for roots that have roots from their history, hence block-chain and sentiment analysis will be useful for searching and confirming the roots for artworks. To add the value of the work, pandemic gives a lot of time to the viewers to see the artwork and give their feedbacks and buying interests on the websites and other digital platforms as well. The work will collect data from few countries, then link them to semantics, derive them into sentiment analysis using VEDAR method, then identify positive and negatives weightages. Direct and indirect demand or ranking will be taken. The work used the existing blockchain which hold the artist and art ranking. In future the work can be extended to dress, dance formats, songs, fashion, food, tourist places, etc. Hence block-chain and sentiment analysis will be useful for searching, tracing and confirming the roots for artworks. Using sentimental analysis, we can also find out the different antique artworks, ranking, value of the artwork and artists from the different provinces. Both technologies provided evidence for digital transactions and will aid in the preservation of history through digital transactions in the future. With the support of blockchain and sentiment analysis, ancient artworks are still relatively new concepts in the business world, this study will assist the reader to understand where these technologies came from and how it has progressed over time.