本文へ移動

論文 ·日本語 ·未確認

Preprocessing Methods and Tools in Modelling Japanese for Text Classification

Reza Rahutomo Febrian Lubis Hery Harjono Muljo Bens Pardamean

刊行年
2019-08-01
言語
英語
OpenAlex
W2973999757
DOI
10.1109/icimtech.2019.8843796
MAG
2973999757
URL
https://doi.org/10.1109/icimtech.2019.8843796

要旨

As a subset of Artificial Intelligence, Natural Language Processing (NLP) is a breakthrough in surpassing language barrier. Japanese language characteristics bring its own challenge in morphological analysis due to the uniqueness of Japanese grammatical system. By the rapid development of NLP tools, many Japanese NLP tools developed with limited ability yet specialized in running certain preprocessing methods. In this paper, the compilation of various methods and newly discovered tools for preprocess Japanese text are delivered to help people decide which Japanese NLP tools needs to be utilized to run some preprocessing methods. All of the Japanese preprocessing methods and tools are collected through literature review. It is concluded that depending on one NLP tool is not recommended since combination of Japanese NLP tools is required to finish Japanese preprocessing phase.

主題

この書誌の出所

  • openalex— W2973999757(2026-08-14取得)

引用

Reza Rahutomo・Febrian Lubis・Hery Harjono Muljo・Bens Pardamean(2019-08-01) Preprocessing Methods and Tools in Modelling Japanese for Text Classification pp. 472-476

Rahutomo2019PreprocessingMethodsTools
書誌 67,320件 語別索引 17,251件 資源 113件 研究者 303名 JSON