NLP-Based Sentiment Analysis of Kannada Language Inscriptions

An inscription is text engraved on metal, coins, graves, rocks, building walls, and other durable surfaces. Sentiment analysis involves employing natural language processing (NLP) to ascertain the emotional impact of a sentence by examining facts, opinions, evaluations, or assertions. Sentiment analysis is the classification of Kannada Language Inscriptions text into Four categories: Grants, Eulogies, Gosaasa and Brave. These inscriptions are found in large numbers across the Karnataka state. These are official documents conveying the grant or gift of land by the kings. The eulogy inscriptions are made to praise the kings or officials. Memorial stones depict heroic stories. These memorial stones honour a hero who died on the battlefield while defending the kings. The Gosaasa inscriptions denote the donation of the cows. Sentiment analysis has developed to enable the automated analysis of extensive datasets. The main aim of sentiment analysis is to ascertain the polarity of data in Kannada language inscriptions. This work focuses on the sentiment analysis of Kannada-language inscriptions to discover diverse sentimental sentences carved on copper plates, stone surfaces, and walls. The main objective of this paper is to perform the sentimental analysis on Kannada language inscriptions with various parameters like “Grants,” “Eulogies,” “Gosaasa,” and “Brave”. The training and testing datasets are individually segregated. Multiple machine learning classifiers are employed, including K-Nearest Neighbors, Random Forest, Linear SVC and Logistic Regression.