[doccano] Text annotation tool - attribute-level sentiment analysis to label your own business data

The notes are study notes compiled by myself. If there are any mistakes, please point them out~

1. Description

2. Prerequisites

Make sure doccano has been installed
Please refer to the article:
[doccano] Text Annotation Tool - Installation and Operation Tutorial

3.doccano creates project

Select sequence annotation

Allow overlapping spans when annotating text
Check allow overlapping spans

Label relationships between entities in text
Check use relation labeling

4. Add data set

The data set format is txt text
One comment per line

Select textline and import

Import completed a>

5. Add tags

Or import custom tags

[
    {
    
    
        "text": "体验：1",
        "background_color": "#FF0000",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "体验：-1",
       "background_color": "#FF0000",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "设计：1",
        "background_color": "#00FF00",
        "text_color": "#000000"
    },
    {
    
    
        "text": "设计：-1",
        "background_color": "#00FF00",
        "text_color": "#000000"
    },
    {
    
    
        "text": "电池：1",
        "background_color": "#0000FF",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "电池：-1",
        "background_color": "#0000FF",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "性能：1",
        "background_color": "#FFFF00",
        "text_color": "#000000"
    },
    {
    
    
        "text": "性能：-1",
        "background_color": "#FFFF00",
        "text_color": "#000000"
    },
    {
    
    
        "text": "摄像：1",
        "background_color": "#FF00FF",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "摄像：-1",
        "background_color": "#FF00FF",
        "text_color": "#ffffff"
    },
    {
    
    
        "text": "通信：1",
       "background_color": "#00FFFF",
        "text_color": "#000000"
    },
    {
    
    
        "text": "通信：-1",
       "background_color": "#00FFFF",
        "text_color": "#000000"
    },
]

6. Label data

7. Export data conversion format

Export annotation data to jsonl format, change the suffix to json format

Convert to txt format

import json

# 读取JSON文件并处理每条数据
with open('admin.json', 'r', encoding='utf-8') as file:
    lines = file.readlines()
    for line in lines:
        data = json.loads(line)

        # 处理每条数据并写入txt文件
        id = data['id']
        text = data['text']
        label = data['label']

        with open('output.txt', 'a', encoding='utf-8') as output_file:
            for lbl in label:
                start = lbl[0]
                end = lbl[1]
                category = lbl[2].split("：")[0]   # 获取类别名称
                tag = lbl[2].split("：")[1]    # 获取类别标签
                output_file.write(f"{
      
      tag}\t{
      
      category}#{
      
      text[start:end]}\t{
      
      text}\n")

Output format: