<b> <i>Komala</i> and <i>Kaṭhora</i> : </b> A Novel Approach Towards Classification of Hindi Poetry

Literary compositions are very often analyzed using various constituent units like words, phrases, sentences, and paragraphs. Unlike the conventional research that focuses on aforementioned units, our task is a statistical effort carried out most fundamental unit of any literary composition called varna , or character, followed by automated classification learning algorithms. This article case study Hindi adaptations two significant pieces, namely, Jana-Gaṇa-Mana Vande-Mātaram acknowledging songs being studied belong to different classes based their bhava, i.e., inherent emotion poem. The present first its kind uses concept komala kaṭhora establish diversity between two. two-proportion Z-test successfully applied data pertaining candidate songs, thereby reestablishing theoretical assertions investigating real pieces literature. Taking verification as ground, learning-based system designed yield best accuracy 85%, which further compliments theory reestablished statistically.