Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes an approach for the author profiling task of the PAN 2013 challenge. This work is based on the idea of linguistic modality 3 that has been successfully used in other classification tasks such as authorship attri- bution.  consider three different modalities: syntactic, stylistic, and semantic, each representing a different aspect of text. For each modality,  extract infor- mative meta features by computing the similarity relations beten the feature vectors in the test files and the centroids of modality specific clusters. Since  re provided texts in both Spanish and English,  build a language indepen- dent framework for author profiling. For both English and Spanish documents, our system performed ll for the age identification task. For gender prediction, although our system could not perform as expected for English, it yielded good results on Spanish.
['Upendra Sapkota', 'Thamar Solorio', 'Manuel Montes-y-Gómez', 'Gabriela Ramírez-de-la-Rosa']
I am writing a research paper on a idea Author Profiling for English and Spanish Text Notebook for PAN at CLEF 2013
[{"from": "human", "value": "I am writing a research paper on a idea Author Profiling for English and Spanish Text Notebook for PAN at CLEF 2013"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes an approach for the author profiling task of the PAN 2013 challenge. This work is based on the idea of linguistic modality 3 that has been successfully used in other classification tasks such as authorship attri- bution.  consider three different modalities: syntactic, stylistic, and semantic, each representing a different aspect of text. For each modality,  extract infor- mative meta features by computing the similarity relations beten the feature vectors in the test files and the centroids of modality specific clusters. Since  re provided texts in both Spanish and English,  build a language indepen- dent framework for author profiling. For both English and Spanish documents, our system performed ll for the age identification task. For gender prediction, although our system could not perform as expected for English, it yielded good results on Spanish."}]