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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 athttps://www.anlp.jp/nlp2021/. Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University).
arusl/anlp_nlp2021_d3-1
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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 andMakoto Shishido (Tokyo Denki University)
which was presented at the27th 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 throughhere, then save todata/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 athttps://www.anlp.jp/nlp2021/. Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University).
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