Develop a sentiment classifier for Japanese language using natural language processing.

1. Develop a sentiment classifier for Japanese
language
日本語の感情分類子を開発する
Nihongo no kanjō bunrui-ko o kaihatsu suru

2. Tableofcontents
04
Software,Hardware
andLibraries
05
ResultsAndConclusion
01
Introduction
02
Motivationand
Objectives
03
SystemArchitecture
andProjectmodules

3. JapaneseWriting
わたしはにほんごをべんきょうしています
"I am studying Japanese".
Hiragana
ワタシハニホンゴヲベンキョウシテイマス
"I am studying
Japanese".
Katakana
私は日本語を勉強しています
"I am studying Japanese".
Kanji

4. Introduction
● Sentiment analysis iscrucial forunderstandingopinionsandemotionsintext.
● Thereisa gapinsentiment analysis forthe Japanese language.
● This project aims to fill the gap by developing a sentiment classifier using BERT
andPyTorch.
● BERTprovidescontextual understandingforcomplex languages likeJapanese.
● PyTorch enables flexible implementation and training of the BERT model for
accurate sentimentclassification.

5. MotivationandObjectives
Objectives:
● Develop an advanced sentiment
classifier for the Japanese language by
utilizing the BERT model and the
PyTorch framework.
● Enhance the accuracy and robustness of
sentiment analysis in Japanese by
capturing contextual information,
semantic meaning, and long-range
dependencies in Japanese text.
Motivation:
● The Japanese language presents unique
challenges for sentiment analysis due to its
complex and context-sensitive nature.
● Developing a sentiment classifier
specifically for Japanese text will enhance
our understanding of opinions and
emotions expressed in thislanguage, filling
the existing gap in sentiment analysis tools
for Japanese.

6. ArchitectureDiagram

7. 私は日本が大好きです.
Watashi wa Nihon ga daisuki desu.
I love Japan.
Tokenization Lemmatization Partsofspeech Removal
["私", "は", "日本", "が
", "大好き", "です", "。
"]
["私", "は", "日本
", "が", "大好き", "
です","。"]
[("私","PRP"), ("は",
"TOP"), ("日本",
"NOUN"), ("。",
"PUNCT")]
私 日本大好き
["Watashi", "wa", "Nihon",
"ga", "daisuki", "desu", "."]
["Watashi", "wa", "Nihon",
"ga", "daisuki", "desu", "."]
WatashiNihon daisuki
[("Watashi", "PRP"), ("wa", "TOP"),
("Nihon", "NOUN"), ("ga", "SUBJ"),
("daisuki", "ADJ"), ("desu", "AUX"),
(".", "PUNCT")]

8. Software,HardwareandLibraryUsed
The software tools and libraries used in thisproject include:
● Python
● TensorFlow/Keras
● MeCab
● Fugashi
● Sudachi
● Flask
Hardware Required :
● CPU - Intel Core i5 6th Generation processor or higher.
● RAM- 8 GB minimum, 16GB or higheris recommended.
● OS - Microsoft Windows 11.

9. ResultsAndConclusion