30.10.2020 | Methodologies and Application
Topic modeling combined with classification technique for extractive multi-document text summarization
Erschienen in: Soft Computing | Ausgabe 2/2021
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Abstract
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A novel heuristic approach is introduced to find out the actual number of topics that exist in a corpus of documents which handles the stochastic nature of latent dirichlet allocation.
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A large corpus of documents is handled by minimizing the huge set of sentences into a small set without losing the important one and thus providing a concise and information rich summary at the end.
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Ensuring that the sentences are arranged as per their importance in the coherent summary.
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Results of the experiment are compared with the state-of-the-art summary systems.