Negapoji: classify Japanese text sentiment

Understand the project

Practical overview

Use Negapoji when an interactive command-line check of a Japanese sentence and a binary sentiment result fit the task.

People who want a basic positive-or-negative label for Japanese sentences from a terminal.
Developers exploring a small Japanese sentiment-classification component for text-processing work.

Submit a Japanese sentence and receive a positive or negative label.
Use dictionary-referenced binary sentiment classification as a starting point for Japanese text-processing work.

Before you choose

The documented interface accepts a sentence interactively and returns a binary label.
The README names Japanese evaluation-polarity dictionaries for verbs/adjectives and nouns as reference datasets.
The repository specifies an MIT license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start Negapoji and submit a Japanese sentence for a positive or negative label.

Clone https://github.com/liaoziyang/negapoji.git.
Run the command below from the cloned repository.
Documented command
```
python3 negapoji_judge.py
```
Enter a sentence when prompted and read the positive or negative output.

The program returns a binary sentiment label for the entered sentence.

The documented use is interactive, one sentence at a time.
The README shows positive and negative labels but does not document confidence scores or explanations.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 18 October 2026
Original website title: liaoziyang/negapoji · Official homepage title · retained in its source language