Tweet Tone
Perform Tone analysis of Tweets using the Watson Tone Analyzer service
This flow is similar to Sentiment Flow but instead of using Sentiment we will be using Tone Analyzer Service to analyze the tone of the tweet and whether or not it expresses Joy, Fear, Sadness, Anger or Disgust
How to build this flow
Step 1: Copy Tweet Simple
Copy the flow from Tweet Simple and paste nodes into this new project
Step 2 : Insert Analyze Tone Service Node
Insert Analyze Tone Node from IBM Watson palette and connect to output of function node
Get Access to Tone Analyzer
Log into IBM Cloud and Go to IBM Cloud Catalog
Search for Tone Analyzer Service within Catalog
Create Lite Service
Go to created Service and get service credentials for Tone Analyzer
Set up node properties with username , password and API key from service credentials
Step 3. Insert Tone Categories , High Score Function and Debug Messages
Insert Change Node and name node tone_categories . Change msg.payload to msg.response.document_tone.tone_categories . Connect node to Tone Analyzer service
Insert function node and name node High Score . Connect Node to Tone Analyzer Service and add the code below to filter out emotions from Tone analyzer service and give a score value .
var emotions = [];
emotions = msg.response.document_tone.tone_categories
.filter(function(c){
if (c.category_id == "emotion_tone")
{return c; }
})[0].tones;
var myscore = 0;
for (var i=0; i<emotions.length; i++) {
if(emotions[i].score > myscore) {
msg.payload = emotions[i].score;
msg.topic = emotions[i].tone_name;
myscore = emotions[i].score;
}
}
return msg;Insert Debug Nodes
1 debug node called Print msg.response with property msg.response . This node is connected to tone analyzer
1 debug node called Tone categories with property msg.payload. This node is connected to tone categories
1 debug node called Score with property msg.topic . This node is connected to High Score function
Step 4. Insert Switch node and various emotions
Insert the switch node from the palette and name it Select Emotions
Set property to msg.topic and connect node to High Score output
Add 5 properties :
==Joy
== Sadness
== Fear
== Anger
== Disgust
Connect Switch node to Change node for each topic and connect Change Node to Template node with property msg.payload
This tweet expresses {{topic}} - {{tweet.text}}Insert Change Node to Debug node to print output panel
Step 5 : Deploy
Once this flow is deployed you should be able to see whether a tweet expresses Joy, Fear , Sadness , Anger or Disgust !
Flow can be imported from :
[
{
"id": "43ca71ea.a470d8",
"type": "tab",
"label": "Tweet Tone",
"disabled": false,
"info": ""
},
{
"id": "7b7fc5b0.b9c2bc",
"type": "twitter in",
"z": "43ca71ea.a470d8",
"twitter": "",
"tags": "",
"user": "false",
"name": "Listen to twitter feed",
"topic": "tweets",
"inputs": 1,
"x": 110,
"y": 100,
"wires": [
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},
{
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"type": "debug",
"z": "43ca71ea.a470d8",
"name": "msg.tweet details",
"active": true,
"console": "false",
"complete": "tweet",
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"y": 60,
"wires": []
},
{
"id": "dee152a6.dc683",
"type": "function",
"z": "43ca71ea.a470d8",
"name": "Remove URLS and replace #",
"func": "var tweet = msg.tweet.text;\nvar newtweet = tweet.replace(/#/g, \" Hash tag \");\n\n// regex from https://stackoverflow.com/questions/1500260/detect-urls-in-text-with-javascript\nmsg.payload = newtweet.replace( /(([a-z]+:\\/\\/)?(([a-z0-9\\-]+\\.)+([a-z]{2}|biz|com|co|edu|gov|info|net|org|ly))(:[0-9]{1,5})?(\\/[a-z0-9_\\-\\.~]+)*(\\/([a-z0-9_\\-\\.]*)(\\?[a-z0-9+_\\-\\.%=&]*)?)?(#[a-zA-Z0-9!$&'()*+.=-_~:@/?]*)?)(\\s+|$)/gi, \"see short URL \" );\nreturn msg;",
"outputs": 1,
"noerr": 0,
"x": 520,
"y": 140,
"wires": [
[
"793be455.d24504",
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{
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{
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"complete": "tweet.text",
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"y": 100,
"wires": []
},
{
"id": "e2a1a472.45d31",
"type": "inject",
"z": "43ca71ea.a470d8",
"name": "Happy test",
"topic": "",
"payload": "{\"text\":\"every one is awesome\"}",
"payloadType": "json",
"repeat": "",
"crontab": "",
"once": false,
"x": 100,
"y": 200,
"wires": [
[
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]
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},
{
"id": "cea2101d.c90368",
"type": "change",
"z": "43ca71ea.a470d8",
"name": "",
"rules": [
{
"t": "set",
"p": "tweet",
"pt": "msg",
"to": "payload",
"tot": "msg"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
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"y": 240,
"wires": [
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},
{
"id": "2ff1eec5.d73532",
"type": "inject",
"z": "43ca71ea.a470d8",
"name": "Sadness test",
"topic": "",
"payload": "{\"text\":\"This is miserable and sad\"}",
"payloadType": "json",
"repeat": "",
"crontab": "",
"once": false,
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"y": 240,
"wires": [
[
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]
},
{
"id": "b0ad7ae8.55827",
"type": "inject",
"z": "43ca71ea.a470d8",
"name": "Angry test",
"topic": "",
"payload": "{\"text\":\"I hate this demo\"}",
"payloadType": "json",
"repeat": "",
"crontab": "",
"once": false,
"x": 100,
"y": 280,
"wires": [
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},
{
"id": "493d81b2.d9b97",
"type": "comment",
"z": "43ca71ea.a470d8",
"name": "Paste API keys for Watson Tone Analyzer",
"info": "1. Log into IBM Cloud\n2. Create an instance of the \nWatson Tone Analyzer service.\n3. Visit the Service Credentials tab\n4. Click on View Credentials\n5. Copy/Paste the password and username into\nthis Node-RED node.\n\nOr\n1. Open this Cloud Foundry Node-RED Starter App\n2. Create a new Connection\n3. Bind the Watson Tone Analyzer service\n4. Restage your Cloud Foundry application",
"x": 250,
"y": 380,
"wires": []
},
{
"id": "5851e163.c38cc8",
"type": "debug",
"z": "43ca71ea.a470d8",
"name": "Tone categories",
"active": true,
"console": "false",
"complete": "payload",
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"y": 340,
"wires": []
},
{
"id": "42622f82.50e3a8",
"type": "function",
"z": "43ca71ea.a470d8",
"name": "High Score",
"func": "var emotions = [];\nemotions = msg.response.document_tone.tone_categories\n .filter(function(c){\n if (c.category_id == \"emotion_tone\")\n {return c; }\n })[0].tones;\n \nvar myscore = 0;\nfor (var i=0; i<emotions.length; i++) {\n if(emotions[i].score > myscore) {\n msg.payload = emotions[i].score;\n msg.topic = emotions[i].tone_name;\n myscore = emotions[i].score;\n }\n}\n\nreturn msg;",
"outputs": 1,
"noerr": 0,
"x": 550,
"y": 380,
"wires": [
[
"34259807.c30f8",
"468043bc.a5b3e4"
]
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{
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"type": "debug",
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"name": "Score",
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"complete": "topic",
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"y": 380,
"wires": []
},
{
"id": "b539688a.ba656",
"type": "debug",
"z": "43ca71ea.a470d8",
"name": "Print msg.response",
"active": true,
"console": "false",
"complete": "response",
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"y": 300,
"wires": []
},
{
"id": "7cf85b86.c47c64",
"type": "watson-tone-analyzer-v3",
"z": "43ca71ea.a470d8",
"name": "Analyze Tone",
"tones": "emotion",
"sentences": "true",
"contentType": "false",
"default-endpoint": true,
"service-endpoint": "",
"x": 340,
"y": 340,
"wires": [
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},
{
"id": "832de69d.b20978",
"type": "change",
"z": "43ca71ea.a470d8",
"name": "tone_categories",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "response.document_tone.tone_categories",
"tot": "msg"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 560,
"y": 340,
"wires": [
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},
{
"id": "468043bc.a5b3e4",
"type": "switch",
"z": "43ca71ea.a470d8",
"name": "Select Emotion",
"property": "topic",
"propertyType": "msg",
"rules": [
{
"t": "eq",
"v": "Joy",
"vt": "str"
},
{
"t": "eq",
"v": "Fear",
"vt": "str"
},
{
"t": "eq",
"v": "Sadness",
"vt": "str"
},
{
"t": "eq",
"v": "Anger",
"vt": "str"
},
{
"t": "eq",
"v": "Disgust",
"vt": "str"
}
],
"checkall": "true",
"outputs": 5,
"x": 340,
"y": 600,
"wires": [
[
"c84637e8.b58548"
],
[
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],
[
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],
[
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]
]
},
{
"id": "113bc8ea.6ba9bf",
"type": "comment",
"z": "43ca71ea.a470d8",
"name": "Extract highest emotion",
"info": "",
"x": 760,
"y": 420,
"wires": []
},
{
"id": "ec8464ba.1e324",
"type": "change",
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"name": "Fear",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "0,255,0",
"tot": "str"
}
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"t": "set",
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"to": "255,255,0",
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{
"t": "set",
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"pt": "msg",
"to": "221,160,221",
"tot": "str"
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{
"id": "c3ee9103.c0c6",
"type": "template",
"z": "43ca71ea.a470d8",
"name": "Score tweet",
"field": "payload",
"fieldType": "msg",
"format": "handlebars",
"syntax": "mustache",
"template": "This tweet expresses {{topic}} - {{tweet.text}}",
"output": "str",
"x": 750,
"y": 600,
"wires": [
[
"8c782698.eda4a"
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},
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"id": "8c782698.eda4a",
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{
"id": "50e484fd.f41184",
"type": "comment",
"z": "43ca71ea.a470d8",
"name": "Pick a #hashtag to follow",
"info": "",
"x": 120,
"y": 60,
"wires": []
}
]Last updated
