jmbo1190 / cazgi-ibm-watson-nlu-project Goto Github PK

coding-project-template

The endpoint for the webserver ending with /url/emotion:

cazgi-IBM-Watson-NLU-Project/sentimentAnalyzeServer/sentimentAnalyzerServer.js

Lines 46 to 70 in c8ce11f

 app.get("/url/emotion", (req,res) => { 

 //Extract the url passed from the client through the request object 

 let urlToAnalyze = req.query.url 

 const analyzeParams = 

 { 

 "url": urlToAnalyze, 

 "features": { 

 "keywords": { 

 "emotion": true, 

 "limit": 1 

 } 

 } 

 } 

 const naturalLanguageUnderstanding = getNLUInstance(); 

 naturalLanguageUnderstanding.analyze(analyzeParams) 

 .then(analysisResults => { 

 //Please refer to the image to see the order of retrieval 

 return res.send(analysisResults.result.keywords[0].emotion,null,2); 

 }) 

 .catch(err => { 

 return res.send("Could not do desired operation "+err); 

 }); 

 });

The endpoint for the webserver ending with /url/sentiment:

cazgi-IBM-Watson-NLU-Project/sentimentAnalyzeServer/sentimentAnalyzerServer.js

Lines 76 to 100 in c8ce11f

 app.get("/url/sentiment", (req,res) => { 

 let urlToAnalyze = req.query.url 

 const analyzeParams = 

 { 

 "url": urlToAnalyze, 

 "features": { 

 "keywords": { 

 "sentiment": true, 

 "limit": 1 

 } 

 } 

 } 

 const naturalLanguageUnderstanding = getNLUInstance(); 

 naturalLanguageUnderstanding.analyze(analyzeParams) 

 .then(analysisResults => { 

 //Retrieve the sentiment and return it as a formatted string 

 return res.send(analysisResults.result.keywords[0].sentiment,null,2); 

 }) 

 .catch(err => { 

 return res.send("Could not do desired operation "+err); 

 }); 

 });

The endpoint for the webserver ending with /text/emotion

cazgi-IBM-Watson-NLU-Project/sentimentAnalyzeServer/sentimentAnalyzerServer.js

Line 107 in c8ce11f

app.get("/text/emotion", (req,res) => {

The endpoint for the webserver ending with /text/sentiment

cazgi-IBM-Watson-NLU-Project/sentimentAnalyzeServer/sentimentAnalyzerServer.js

Lines 137 to 161 in c8ce11f

 app.get("/text/sentiment", (req,res) => { 

 let textToAnalyze = req.query.text 

 const analyzeParams = 

 { 

 "text": textToAnalyze, 

 "features": { 

 "keywords": { 

 "sentiment": true, 

 "limit": 1 

 } 

 } 

 } 

 const naturalLanguageUnderstanding = getNLUInstance(); 

 naturalLanguageUnderstanding.analyze(analyzeParams) 

 .then(analysisResults => { 

 //Retrieve the sentiment and return it as a formatted string 

 return res.send(analysisResults.result.keywords[0].sentiment,null,2); 

 }) 

 .catch(err => { 

 return res.send("Could not do desired operation "+err); 

 }); 

 });

jmbo1190 / cazgi-ibm-watson-nlu-project Goto Github PK

cazgi-ibm-watson-nlu-project's Introduction

coding-project-template

The endpoint for the webserver ending with /url/emotion:

The endpoint for the webserver ending with /url/sentiment:

The endpoint for the webserver ending with /text/emotion

The endpoint for the webserver ending with /text/sentiment

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	app.get("/url/emotion", (req,res) => {
	//Extract the url passed from the client through the request object
	let urlToAnalyze = req.query.url
	const analyzeParams =
	{
	"url": urlToAnalyze,
	"features": {
	"keywords": {
	"emotion": true,
	"limit": 1
	}
	}
	}

	const naturalLanguageUnderstanding = getNLUInstance();

	naturalLanguageUnderstanding.analyze(analyzeParams)
	.then(analysisResults => {
	//Please refer to the image to see the order of retrieval
	return res.send(analysisResults.result.keywords[0].emotion,null,2);
	})
	.catch(err => {
	return res.send("Could not do desired operation "+err);
	});
	});

	app.get("/url/sentiment", (req,res) => {
	let urlToAnalyze = req.query.url
	const analyzeParams =
	{
	"url": urlToAnalyze,
	"features": {
	"keywords": {
	"sentiment": true,
	"limit": 1
	}
	}
	}

	const naturalLanguageUnderstanding = getNLUInstance();

	naturalLanguageUnderstanding.analyze(analyzeParams)
	.then(analysisResults => {
	//Retrieve the sentiment and return it as a formatted string

	return res.send(analysisResults.result.keywords[0].sentiment,null,2);
	})
	.catch(err => {
	return res.send("Could not do desired operation "+err);
	});
	});

	app.get("/text/sentiment", (req,res) => {
	let textToAnalyze = req.query.text
	const analyzeParams =
	{
	"text": textToAnalyze,
	"features": {
	"keywords": {
	"sentiment": true,
	"limit": 1
	}
	}
	}

	const naturalLanguageUnderstanding = getNLUInstance();

	naturalLanguageUnderstanding.analyze(analyzeParams)
	.then(analysisResults => {
	//Retrieve the sentiment and return it as a formatted string

	return res.send(analysisResults.result.keywords[0].sentiment,null,2);
	})
	.catch(err => {
	return res.send("Could not do desired operation "+err);
	});
	});