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This repository contains codes related to the experiments in "An Experimental Evaluation of Japanese Tokenizers for Sentiment-Based Text Classification" presented at https://www.anlp.jp/nlp2021/. Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University).

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Overview

This repository contains codes related to the experiments in the following research paper.

Paper Title: An Experimental Evaluation of Japanese Tokenizers for Sentiment-Based Text Classification (PDF)

Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University)

which was presented at the 27th Annual Meeting of the Association of Natural Language Processing (言語処理学会第27回年次大会(NLP2021))

Conference website: https://www.anlp.jp/nlp2021/index.html.

Original Japanese Rakuten sentiment dataset can be downloaded through here, then save to data/rakuten-sentiment-dataset/binary/.

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This repository contains codes related to the experiments in "An Experimental Evaluation of Japanese Tokenizers for Sentiment-Based Text Classification" presented at https://www.anlp.jp/nlp2021/. Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University).

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