Bangla News Trend Observation using LDA Based Topic Modeling

Alam, Kazi Masudul; Hemel, Md. Tanvir Hossain; Islam, Saimum; Akther, Aysha

doi:10.1109/iccit51783.2020.9392719

Cited by 5 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, a few Bangla language researchers have demonstrated a keen interest in Bangla corpus development and Bangla text analysis. Some notable progress has been documented in corpus creation in [15], [16], [17], [18], [19], [20] and knowledge engineering on Bangla language in [21], [22], [23], [24], etc. The first electronic Bangla corpus was constructed by the Central Institute of Indian Languages (CIIL) from 1991 to 1995 [25].…”

Section: Bangla Language Corpusmentioning

confidence: 99%

Compilation, Analysis and Application of a Comprehensive Bangla Corpus KUMono

et al. 2022

Self Cite

View full text Add to dashboard Cite

Research in Natural Language Processing (NLP) and computational linguistics highly depends on a good quality representative corpus of any specific language. Bangla is one of the most spoken languages in the world but Bangla NLP research is in its early stage of development due to the lack of quality public corpus. This article describes the detailed compilation methodology of a comprehensive monolingual Bangla corpus, KUMono. The newly developed corpus consists of more than 350 million word tokens and more than one million unique tokens from 18 major text categories of online Bangla websites. We have conducted several word-level and character-level linguistic phenomenon analyses based on empirical studies of the developed corpus. The corpus follows Zipf's curve and hapax legomena rule. The quality of the corpus is also assessed by analyzing and comparing the inherent sparseness of the corpus with existing Bangla corpora, by analyzing the distribution of function words of the corpus and vocabulary growth rate. We have developed a Bangla article categorization application based on the KUMono corpus and received compelling results by comparing to the state-of-the-art models.

show abstract