Realization of Text Categorization for Small-scaled Dataset

摘要

Testing of the text categorization and comparison testing is carried out based on small-scaled dataset. In case of lack of trained set, without training, the indexed text keywords are used to categorize the expert subject terms, with large categorization accuracy amounted to 0.82. In case of less trained set, after training, the characteristics vectors acquired from the training are added into experts' subject terms and are categorized, with large accuracy amounted to 0.94, the level-3 accuracy amounted to 0.73, so the results are satisfying.