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Nonparametric method of topic identification using ...
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由 I Ganguli 著作2023被引用 7 次 — This paper aims to classify the large unstructured documents into different topics without involving huge computational resources and a priori knowledge.
Non-parametric Method of Topic Identification Using ...
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由 I Ganguli 著作2019被引用 7 次 — This paper aims to classify the large unstructured documents into different topics without involving huge computational power and a priori ...
Nonparametric method of topic identification using ...
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2024年12月9日 — This paper aims to classify the large unstructured documents into different topics without involving huge computational resources and a ...
Nonparametric method of topic identification using granularity ...
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由 I Ganguli 著作2023被引用 7 次 — This paper aims to classify the large unstructured documents into different topics without involving huge computational resources and a ...
Non-parametric Method of Topic Identification Using Granularity ...
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This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an ...
Nonparametric method of topic identification using granularity ...
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It has been shown that the proposed granularity-based word grouping (GBWG) algorithm is comparable or better than the state-of-the-art topic modeling ...
Non-parametric Method of Topic Identification Using Granularity ...
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Abstract documents into different topics without involving huge compu- tational power and a priori knowledge. The concept of gran-.
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Nonparametric method of topic identification using ...
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由 I Ganguli 著作2023被引用 7 次 — The proposed nonparametric granularity-based word grouping (GBWG) algorithm generates granule of words (GoWs) hierarchically based on the co- ...
Isha Ganguli
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Nonparametric method of topic identification using granularity concept and graph-based modeling. I Ganguli, J Sil, N Sengupta. Neural Computing and Applications ...
2019 India International Congress on Computational ...
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由 S Deb 著作2023 — Ganguli et al. have proposed a nonparametric method for topic identification with granularity concept and graph-based modeling. In ...