Kāvi: An Annotated Corpus of Punjabi Poetry with Emotion Detection Based on ‘Navrasa’

  title={Kāvi: An Annotated Corpus of Punjabi Poetry with Emotion Detection Based on ‘Navrasa’},
  author={Jatinderkumar R. Saini and Jasleen Kaur},
  journal={Procedia Computer Science},
Towards Natural Language Processing with Figures of Speech in Hindi Poetry
This work is the first of its kind in Hindi Natural Language Processing (NLP), which touches on the area of Hindi figure of speech and has created a systematic hierarchical structure of Hindi “Alankaar” types and sub-types and attempted and extended the work to identify a few.
Stanza Type Identification using Systematization of Versification System of Hindi Poetry
The paper covers various challenges and the best possible solutions for those challenges, describing the methodology to generate automatic metadata for “Chhand” based on the poems’ stanzas, and provides some advanced information and techniques for metadata generation for ”Muktak Chhands”.
Study presents a novel perspective in sentiment capture as of Gujarati Poems with the use of variety of characteristic there within Gujarati poems to disclose emotions through Gujarati poetries.
An Application of Zipf's Law for Prose and Verse Corpora Neutrality for Hindi and Marathi Languages
Common tokens from corpora of verses and proses of Marathi as well as Hindi are identified to prove that both of them behave same as per as NLP activities are concerened and the betterment of BaSa over Zipf’s law is proved.
On Exhaustive Evaluation of Eager Machine Learning Algorithms for Classification of Hindi Verses
Text classification algorithms along with Natural Language Processing (NLP) facilitates fast, cost-effective, and scalable solution for classification and prediction of verses on Hindi corpus.
Hindi Poetry Classification using Eager Supervised Machine Learning Algorithms
Two eager machine learning algorithms are applied on the corpus containing 450 Hindi poems and poetry/poem gets classified based on terms present in it using a misclassification error.
BaSa: A Technique to Identify Context based Common Tokens for Hindi Verses and Proses
The BaSa technique is proposed to identify context based common tokens from given corpora and will give guidelines in the form for researchers working in Hindi NLP.
Hindi Verse Class Predictor using Concept Learning Algorithms
In this paper, 565 Hindi poems are classified based on four topics using lazy machine-learning algorithms which are K-nearest neighbours and regression, and K nearset neighbours performs better than Linear regression.
A Survey: Accretion in Linguistic Classification of Indian Languages
  • Dip Patel
  • Linguistics
    Data Engineering for Smart Systems
  • 2021


Designing punjabi poetry classifiers using machine learning and different textual features
Content-based Punjabi poetry classifier was developed using Weka toolset and revealed that semantic feature performed better as compared to lexical and syntactic features.
Automatic classification of Punjabi poetries using poetic features
Automatic classification of poetic content is very challenging from the computational linguistic point of view. For library suggestion framework, poetries can be grouped on different measurements,
Automatic Classification of Literature Pieces by Emotion Detection: A Study on Quevedo's Poetry
An experiment on the categorization of poems based on their emotional content, which is automatically measured, to verify whether the information about emotional content can be used to build classifiers reproducing that categorization.
Punjabi Poetry Classification: The Test of 10 Machine Learning Algorithms
Results for Punjabi poetry classification revealed that 4 machine learning algorithms namely, Hyperpipes (HP), K- nearest neighbour (KNN), Naive Bayes (NB) and Support Vector Machine (SVM) with an accuracy of 50.63 %, 52.75 % and 58.79 % respectively, outperformed all other machinelearning algorithms under the test.
Poetry Classification Using Support Vector Machines
The results show the potential of SVM technique in classifying poems into various classification of which previous approaches only focused on classifying prose only.
POS Word Class Based Categorization of Gurmukhi Language Stemmed Stop Words
This paper concentrates on providing better and deeper understanding of Punjabi stop words in lieu of PunJabi grammar and part of speech based word class categorization.
Automatic meter classification in Persian poetries using support vector machines
The proposed meter classification system for Persian poems based on features extracted from uttered poem shows 91% accuracy in three top meter style choices and is robust against syllables insertion, deletion or classification.
Punjabi Stop Words: A Gurmukhi, Shahmukhi and Roman Scripted Chronicle
For the first time in scientific community dealing with computational linguistics and literature processing using NLP techniques, the list of 184 stop words of Punjabi language is released for public usage and further NLP applications.
Empirical Study to Suggest Optimal Classification Techniques for Given Dataset
This research work runs some well-known classification algorithms against some standard datasets, and suggests the optimal algorithm for different categories of datasets.