English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Lyrics play a significant role in conveying the song's mood and areinformation to understand and interpret music communication. Conventionalnatural language processing approaches use translation of the Hindi text intoEnglish for analysis. This approach is not suitable for lyrics as it is likelyto lose the inherent intended contextual meaning. Thus, the need was identifiedto develop a system for Devanagari text analysis. The data set of 300 songlyrics with equal distribution in five different moods is used for theexperimentation. The proposed system performs contextual mood analysis of Hindisong lyrics in Devanagari text format. The contextual analysis is stored as aknowledge base, updated using an incremental learning approach with new data.Contextual knowledge graph with moods and associated important contextual termsprovides the graphical representation of the lyric data set used. The testingresults show 64% accuracy for the mood prediction. This work can be easilyextended to applications related to Hindi literary work such as summarization,indexing, contextual retrieval, context-based classification and grouping ofdocuments.

Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script