Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis.

ABSTRACT: Word embeddings are essential to natural language processing tasks because they contain a single word's syntactic and semantic information. Word embeddings have been developed widely for numerous spoken languages across the globe like English. The research community needs to pay more attention to the Urdu language despite its significant number of speakers, which amounts to approximately 231.3 million individuals. Urdu is a complex language because word boundaries in Urdu are unspecified, as it does not employ delimiters between words. The compound word, a multiword expression, is a more complex word consisting of many strings or independent base words. Traditionally, compound words are identified during the word segmentation using bigram or trigram approaches. The challenge with these tec

SUBMITTER: Khushhal S 

PROVIDER: S-EPMC12453651 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature