Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A statistics-based approach for clustering documents and for extracting cluster topics is described relevant (meaningful) expressions (REs) automatically extracted from corpora are used as clustering base features. These features are transformed and its number is strongly reduced in order to obtain a small set of document classification features. This is achieved on the basis of principal components analysis. Model-based clustering analysis finds the best number of clusters. Then, the most important REs are extracted from each cluster and taken as document cluster topics.
['João Ricardo Silva', 'João T. Mexia', 'Alexandre Ramos Coelho', 'Gabriel Pereira Lopes']
I am writing a research paper on a idea Document clustering and cluster topic extraction in multilingual corpora
[{"from": "human", "value": "I am writing a research paper on a idea Document clustering and cluster topic extraction in multilingual corpora"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A statistics-based approach for clustering documents and for extracting cluster topics is described relevant (meaningful) expressions (REs) automatically extracted from corpora are used as clustering base features. These features are transformed and its number is strongly reduced in order to obtain a small set of document classification features. This is achieved on the basis of principal components analysis. Model-based clustering analysis finds the best number of clusters. Then, the most important REs are extracted from each cluster and taken as document cluster topics."}]