文本情感分析工作流
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工作流图谱
YAML 源码
app:
description: ''
icon: ❤️🩹
icon_background: '#FFE4E8'
mode: workflow
name: 文本情感分析工作流
use_icon_as_answer_icon: false
dependencies:
- current_identifier: null
type: marketplace
value:
marketplace_plugin_unique_identifier: langgenius/openai:0.0.13@9caa0421b5519db036aaccdbf1980d1071550767d6c59e9d9388dd386a92e9f6
kind: app
version: 0.1.5
workflow:
conversation_variables: []
environment_variables: []
features:
file_upload:
allowed_file_extensions:
- .JPG
- .JPEG
- .PNG
- .GIF
- .WEBP
- .SVG
allowed_file_types:
- image
allowed_file_upload_methods:
- local_file
- remote_url
enabled: false
fileUploadConfig:
audio_file_size_limit: 50
batch_count_limit: 5
file_size_limit: 15
image_file_size_limit: 10
video_file_size_limit: 100
workflow_file_upload_limit: 10
image:
enabled: false
number_limits: 3
transfer_methods:
- local_file
- remote_url
number_limits: 3
opening_statement: ''
retriever_resource:
enabled: false
sensitive_word_avoidance:
enabled: false
speech_to_text:
enabled: false
suggested_questions: []
suggested_questions_after_answer:
enabled: false
text_to_speech:
enabled: false
language: ''
voice: ''
graph:
edges:
- data:
sourceType: llm
targetType: end
id: 1711708651402-1711708653229
source: '1711708651402'
sourceHandle: source
target: '1711708653229'
targetHandle: target
type: custom
- data:
sourceType: start
targetType: if-else
id: 1711708591503-1711708770787
source: '1711708591503'
sourceHandle: source
target: '1711708770787'
targetHandle: target
type: custom
- data:
sourceType: llm
targetType: end
id: 1711708925268-1712457684421
source: '1711708925268'
sourceHandle: source
target: '1712457684421'
targetHandle: target
type: custom
- data:
sourceType: if-else
targetType: llm
id: 1711708770787-1711708651402
source: '1711708770787'
sourceHandle: 'false'
target: '1711708651402'
targetHandle: target
type: custom
- data:
sourceType: if-else
targetType: llm
id: 1711708770787-1711708925268
source: '1711708770787'
sourceHandle: 'true'
target: '1711708925268'
targetHandle: target
type: custom
nodes:
- data:
desc: ''
selected: false
title: 开始
type: start
variables:
- label: 输入文本
max_length: null
options: []
required: true
type: paragraph
variable: input_text
- label: 情感种类是否多选
max_length: 48
options:
- 'True'
- 'False'
required: true
type: select
variable: Multisentiment
- label: 情感类别
max_length: 48
options: []
required: false
type: text-input
variable: Categories
height: 142
id: '1711708591503'
position:
x: 79.5
y: 313.5
positionAbsolute:
x: 79.5
y: 313.5
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
frequency_penalty: 0
max_tokens: 512
presence_penalty: 0
temperature: 0.7
top_p: 1
mode: chat
name: gpt-3.5-turbo
provider: langgenius/openai/openai
prompt_template:
- role: system
text: '你是一个文本情感分析模型。分析文本情绪，进行分类，并提取积极和消极关键词。如果没有提供分类，应自动确定分类。分配一个情绪得分（从-1.0到1.0，以0.1为增量）。只返回JSON响应。
始终尝试返回情绪得分，不要有异常。
为适用于输入文本的每个分类定义一个情绪得分。不包括与文本不适用的分类。跳过某些分类是可以的。
重要：将输出格式化为JSON。只返回JSON响应，不添加其他评论或文本。如果你返回的是除JSON以外的任何文本，你将失败。'
- role: user
text: '输入文本：披萨很美味，员工很友好，等待时间较长。
分类：质量，服务，价格'
- role: assistant
text: "[\n\t{\n\t\t\"category\": \"质量\",\n\t\t\"positive_keywords\": [\n\
\t\t\t\"美味的披萨\"\n\t\t],\n\t\t\"negative_keywords\": [],\n\t\t\"score\"\
: 0.7,\n\t\t\"sentiment\": \"正面\"\n\t},\n\t{\n\t\t\"category\": \"服务\"\
,\n\t\t\"positive_keywords\": [\n\t\t\t\"友好的员工\"\n\t\t],\n\t\t\"negative_keywords\"\
: [],\n\t\t\"score\": 0.6,\n\t\t\"sentiment\": \"正面\"\n\t}\n]\n"
- role: user
text: '输入文本: {{#1711708591503.input_text#}}
类别: {{#1711708591503.Categories#}}'
selected: false
title: 多情绪为假
type: llm
variables: []
vision:
enabled: false
height: 96
id: '1711708651402'
position:
x: 654.0714285714286
y: 526.3571428571429
positionAbsolute:
x: 654.0714285714286
y: 526.3571428571429
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
outputs:
- value_selector:
- '1711708651402'
- text
variable: text
selected: false
title: 结束 2
type: end
height: 90
id: '1711708653229'
position:
x: 948.5
y: 526.3571428571429
positionAbsolute:
x: 948.5
y: 526.3571428571429
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
cases:
- case_id: 'true'
conditions:
- comparison_operator: is
id: '1711708913752'
value: 'True'
variable_selector:
- '1711708591503'
- Multisentiment
logical_operator: and
conditions:
- comparison_operator: is
id: '1711708913752'
value: 'True'
variable_selector:
- '1711708591503'
- Multisentiment
desc: ''
logical_operator: and
selected: false
title: 条件分支
type: if-else
height: 126
id: '1711708770787'
position:
x: 362.5
y: 313.5
positionAbsolute:
x: 362.5
y: 313.5
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
context:
enabled: false
variable_selector: []
desc: ''
model:
completion_params:
frequency_penalty: 0
max_tokens: 512
presence_penalty: 0
temperature: 0.7
top_p: 1
mode: chat
name: gpt-3.5-turbo
provider: langgenius/openai/openai
prompt_template:
- role: system
text: '你是一个文本情感分析模型。分析文本情感，进行分类，并提取积极和消极关键词。如果没有提供类别，应自动确定类别。分配一个情感分数（-1.0到1.0，以0.1为增量）。仅返回JSON响应。
始终尝试返回一个情感分数，不得有异常。
为整个文本定义一个单一分数，并识别与该文本相关的类别
重要提示：将输出格式化为JSON。只返回JSON响应，不添加其他评论或文本。如果返回的文本不是JSON，将视为失败。'
- role: user
text: '输入文本：披萨很美味，员工很友好，等待时间较长。
分类：质量，服务，价格'
- role: assistant
text: "{\n \"positive_keywords\": [\"美味\", \"友好的员工\"],\n \"negative_keywords\"\
: [\"等待时间长\"],\n \"score\": 0.3,\n \"sentiment\": \"略微积极\",\n \
\ \"categories\": [\"质量\", \"服务\"]\n}"
- role: user
text: '输入文本: {{#1711708591503.input_text#}}
类别: {{#1711708591503.Categories#}}'
selected: false
title: 多重情感为真
type: llm
variables: []
vision:
enabled: false
height: 96
id: '1711708925268'
position:
x: 644.0714285714286
y: 227.35714285714283
positionAbsolute:
x: 644.0714285714286
y: 227.35714285714283
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
desc: ''
outputs:
- value_selector:
- '1711708925268'
- text
variable: text
selected: false
title: 结束
type: end
height: 90
id: '1712457684421'
position:
x: 924.2142857142858
y: 227.35714285714283
positionAbsolute:
x: 924.2142857142858
y: 227.35714285714283
selected: false
sourcePosition: right
targetPosition: left
type: custom
width: 244
- data:
author: Dify
desc: ''
height: 195
selected: true
showAuthor: true
text: '{"root":{"children":[{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"input_text：如何需要识别情感的文本；","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"Multisentiment：文本中是否含有多种情感，布尔值；","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"Categories：可选择填写，如果填写了会限制
LLM 识别你填写的内容，而不会自由发挥。","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0}],"direction":"ltr","format":"","indent":0,"type":"root","version":1}}'
theme: blue
title: ''
type: ''
width: 365
height: 195
id: '1718994193060'
position:
x: 78.72676052802971
y: 83.82339918419211
positionAbsolute:
x: 78.72676052802971
y: 83.82339918419211
selected: true
sourcePosition: right
targetPosi...（过长已截断）