JSAI2024

Presentation information

Poster Session

Poster session » Poster session

[4Xin2] Poster session 2

Fri. May 31, 2024 12:00 PM - 1:40 PM Room X (Event hall 1)

[4Xin2-12] Improving Japanese Sentiment Analysis with Text Normalization

〇Risa Kondo1, Ayu Teramen1, Reon Kajikawa1, Koki Horiguchi1, Tomoyuki Kajiwara1,2, Takashi Ninomiya1, Hideaki Hayashi2, Yuta Nakashima2, Hajime Nagahara2 (1.Ehime University, 2.Osaka University)

Keywords:Sentiment Analysis, Text Normalization, WRIME

We are working on sentiment polarity classification for Japanese text on social networking services (SNS).
Various types of noise appear in SNS text, including typographical errors such as misspellings and SNS-specific phrases.
Such textual diversity may degrade the performance of sentiment analysis.
Therefore, we improve the performance of sentiment analysis for Japanese SNS texts with text normalization.
Experimental results on 6,000 manually normalized posts show that our text normalization improves the performance of sentiment analysis.
Our detailed analysis revealed that most of the 33 categories of our normalization typology contributed to the sentiment analysis.

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