Ajusted to user LR algorithm

config/properties.js

@@ -11,7 +11,7 @@
 
 	/* Classifier Config */
 	exports.EFFECTIVE_PERCENTUAL = 65;			// Ponto de corte entre agressivo e não agressivo
-	exports.CLASSIFIER_ALGORITHM = "NB";		//"NB" (Nayve Bayes) or "LR" (Linear Regression)
+	exports.CLASSIFIER_ALGORITHM = "LR";		//"NB" (Nayve Bayes) or "LR" (Linear Regression)
 
 	if (process.env.NODE_ENV === "development") {
 		exports.CLASSIFIER_SERVER_PORT = 8082;

controller/preProcessorController.js

@@ -32,19 +32,21 @@
 		 * Process individual texts
 		 * @param text to processs
 		 */
+
 		let preProcessText = (text) => {
 			let processedText = text;
 
-			//removes trash
+			//Remove resíduos textuais como "ahuahua", "kkkk", "http", etc
 			processedText = removeTrashWords(processedText);
 
-			//removes symbols
+			//Remove simbolos e números
 			processedText = removeSymbols(processedText);
 
-			//remove the stopwords
-			processedText = removeIrrelevantWorlds(processedText);
+			// Efetua Análise Sintática e remove palavras sintaticamente
+			// irrelevantes para a detecção de emoções
+			processedText = removeIrrelevantWords(processedText);
 
-			//stemmer
+			//Análise Léxica, extração dos radicais
 			processedText = steemer(processedText);
 
 			return processedText;
@@ -134,7 +136,7 @@
 	 * @param str - target string
 	 * @returns {string} a new string without irrelevant words based on pt-br sintax rules
 	 */
-	function removeIrrelevantWorlds(str) {
+	function removeIrrelevantWords(str) {
 		let words = [];
 
 		let tags = posTaggerController.getPOSTags(str);

main-services/server.js

@@ -1,18 +1,12 @@
-/**
- * Created by maiquel on 28/02/18.
- */
-
 (function () {
 	"use strict";
-
 	const http = require('http'),
 		express = require('express'),
 		bodyParser = require('body-parser'),
 		properties = require('../config/properties'),
 		StringDecoder = require('string_decoder').StringDecoder,	//módulo para decodificar strings
 		decoder = new StringDecoder('utf8');
 
-
 	let dir = __dirname.split("/");
 	dir.pop();
 	const root = dir.join("/");
@@ -31,7 +25,6 @@
 	app.use("/js", express.static(root + '/public/js'));
 	app.use("/img",  express.static(root + '/public/img'));
 
-
 	app.server.listen(properties.WEB_SERVER_PORT);
 	console.log("Server started on port " + properties.WEB_SERVER_PORT);
 
@@ -50,11 +43,9 @@
 
 	app.post('/classify', (req, serverRes) => {
 		let target = req.body.target;
-
 		const postData = {
 			'target': target
 		};
-
 		let options = {
 			host: properties.CLASSIFIER_HOST,
 			port: properties.CLASSIFIER_SERVER_PORT,
@@ -68,12 +59,10 @@
 
 		const classifierRequest = http.request(options, (res) => {
 			const {statusCode} = res;
-
 			res.setEncoding('utf8');
 			res.on('data', (data) => {
 				serverRes.json(JSON.parse(data));
 			});
-
 		});
 
 		classifierRequest.on('error', (e) => {
@@ -85,15 +74,12 @@
 				serverRes.send(e.message);
 			}
 		});
-
 		classifierRequest.end(JSON.stringify(postData));
-
 	});
 
 	app.post('/feedback', (req, serverRes) => {
 		let activityID = req.body.activityID;
 		let feedback = req.body.feedback;
-
 		const postData = {
 			activityID: activityID,
 			feedback: feedback
@@ -112,12 +98,10 @@
 
 		const classifierRequest = http.request(options, (res) => {
 			const {statusCode} = res;
-
 			res.setEncoding('utf8');
 			res.on('data', (data) => {
 				serverRes.json(JSON.parse(data));
 			});
-
 		});
 
 		classifierRequest.on('error', (e) => {
@@ -129,9 +113,6 @@
 				serverRes.send(e.message);
 			}
 		});
-
 		classifierRequest.end(JSON.stringify(postData));
-
 	});
-
 }());