diff options
author | Peter Wu <peter@lekensteyn.nl> | 2014-05-26 11:36:25 +0200 |
---|---|---|
committer | Peter Wu <peter@lekensteyn.nl> | 2014-05-26 11:36:25 +0200 |
commit | e051abbfdbf7ff721bf1318bf0b5939741b1f792 (patch) | |
tree | e66107b3dd74a743ec73afd654e6541df0d731ba | |
parent | bab0c2f127c989635145855675b320ae5e06ae53 (diff) | |
download | Goldfarmer-e051abbfdbf7ff721bf1318bf0b5939741b1f792.tar.gz |
FKING CRLF
-rw-r--r-- | nbproject/configs/such_database.properties | 2 | ||||
-rw-r--r-- | nbproject/project.properties | 162 | ||||
-rw-r--r-- | src/main/Analyzor.java | 690 |
3 files changed, 427 insertions, 427 deletions
diff --git a/nbproject/configs/such_database.properties b/nbproject/configs/such_database.properties index bba41ec..9dffee6 100644 --- a/nbproject/configs/such_database.properties +++ b/nbproject/configs/such_database.properties @@ -1 +1 @@ -$label=such database
+$label=such database diff --git a/nbproject/project.properties b/nbproject/project.properties index b262ab6..ab8ae05 100644 --- a/nbproject/project.properties +++ b/nbproject/project.properties @@ -1,81 +1,81 @@ -annotation.processing.enabled=true
-annotation.processing.enabled.in.editor=false
-annotation.processing.processors.list=
-annotation.processing.run.all.processors=true
-annotation.processing.source.output=${build.generated.sources.dir}/ap-source-output
-application.title=Goldfarmer
-application.vendor=maurice
-build.classes.dir=${build.dir}/classes
-build.classes.excludes=**/*.java,**/*.form
-# This directory is removed when the project is cleaned:
-build.dir=build
-build.generated.dir=${build.dir}/generated
-build.generated.sources.dir=${build.dir}/generated-sources
-# Only compile against the classpath explicitly listed here:
-build.sysclasspath=ignore
-build.test.classes.dir=${build.dir}/test/classes
-build.test.results.dir=${build.dir}/test/results
-# Uncomment to specify the preferred debugger connection transport:
-#debug.transport=dt_socket
-debug.classpath=\
- ${run.classpath}
-debug.test.classpath=\
- ${run.test.classpath}
-# Files in build.classes.dir which should be excluded from distribution jar
-dist.archive.excludes=
-# This directory is removed when the project is cleaned:
-dist.dir=dist
-dist.jar=${dist.dir}/Goldfarmer.jar
-dist.javadoc.dir=${dist.dir}/javadoc
-endorsed.classpath=
-excludes=
-file.reference.joda-time-2.3.jar=lib/joda-time-2.3.jar
-file.reference.postgresql-9.3-1101.jdbc41.jar=lib/postgresql-9.3-1101.jdbc41.jar
-includes=**
-jar.compress=false
-javac.classpath=\
- ${file.reference.joda-time-2.3.jar}:\
- ${file.reference.postgresql-9.3-1101.jdbc41.jar}
-# Space-separated list of extra javac options
-javac.compilerargs=
-javac.deprecation=false
-javac.processorpath=\
- ${javac.classpath}
-javac.source=1.7
-javac.target=1.7
-javac.test.classpath=\
- ${javac.classpath}:\
- ${build.classes.dir}:\
- ${libs.junit_4.classpath}
-javac.test.processorpath=\
- ${javac.test.classpath}
-javadoc.additionalparam=
-javadoc.author=false
-javadoc.encoding=${source.encoding}
-javadoc.noindex=false
-javadoc.nonavbar=false
-javadoc.notree=false
-javadoc.private=false
-javadoc.splitindex=true
-javadoc.use=true
-javadoc.version=false
-javadoc.windowtitle=
-main.class=main.Main
-manifest.file=manifest.mf
-meta.inf.dir=${src.dir}/META-INF
-mkdist.disabled=false
-platform.active=default_platform
-project.licensePath=./nbproject/licenseheader.txt
-run.classpath=\
- ${javac.classpath}:\
- ${build.classes.dir}
-# Space-separated list of JVM arguments used when running the project.
-# You may also define separate properties like run-sys-prop.name=value instead of -Dname=value.
-# To set system properties for unit tests define test-sys-prop.name=value:
-run.jvmargs=
-run.test.classpath=\
- ${javac.test.classpath}:\
- ${build.test.classes.dir}
-source.encoding=UTF-8
-src.dir=src
-test.src.dir=test
+annotation.processing.enabled=true +annotation.processing.enabled.in.editor=false +annotation.processing.processors.list= +annotation.processing.run.all.processors=true +annotation.processing.source.output=${build.generated.sources.dir}/ap-source-output +application.title=Goldfarmer +application.vendor=maurice +build.classes.dir=${build.dir}/classes +build.classes.excludes=**/*.java,**/*.form +# This directory is removed when the project is cleaned: +build.dir=build +build.generated.dir=${build.dir}/generated +build.generated.sources.dir=${build.dir}/generated-sources +# Only compile against the classpath explicitly listed here: +build.sysclasspath=ignore +build.test.classes.dir=${build.dir}/test/classes +build.test.results.dir=${build.dir}/test/results +# Uncomment to specify the preferred debugger connection transport: +#debug.transport=dt_socket +debug.classpath=\ + ${run.classpath} +debug.test.classpath=\ + ${run.test.classpath} +# Files in build.classes.dir which should be excluded from distribution jar +dist.archive.excludes= +# This directory is removed when the project is cleaned: +dist.dir=dist +dist.jar=${dist.dir}/Goldfarmer.jar +dist.javadoc.dir=${dist.dir}/javadoc +endorsed.classpath= +excludes= +file.reference.joda-time-2.3.jar=lib/joda-time-2.3.jar +file.reference.postgresql-9.3-1101.jdbc41.jar=lib/postgresql-9.3-1101.jdbc41.jar +includes=** +jar.compress=false +javac.classpath=\ + ${file.reference.joda-time-2.3.jar}:\ + ${file.reference.postgresql-9.3-1101.jdbc41.jar} +# Space-separated list of extra javac options +javac.compilerargs= +javac.deprecation=false +javac.processorpath=\ + ${javac.classpath} +javac.source=1.7 +javac.target=1.7 +javac.test.classpath=\ + ${javac.classpath}:\ + ${build.classes.dir}:\ + ${libs.junit_4.classpath} +javac.test.processorpath=\ + ${javac.test.classpath} +javadoc.additionalparam= +javadoc.author=false +javadoc.encoding=${source.encoding} +javadoc.noindex=false +javadoc.nonavbar=false +javadoc.notree=false +javadoc.private=false +javadoc.splitindex=true +javadoc.use=true +javadoc.version=false +javadoc.windowtitle= +main.class=main.Main +manifest.file=manifest.mf +meta.inf.dir=${src.dir}/META-INF +mkdist.disabled=false +platform.active=default_platform +project.licensePath=./nbproject/licenseheader.txt +run.classpath=\ + ${javac.classpath}:\ + ${build.classes.dir} +# Space-separated list of JVM arguments used when running the project. +# You may also define separate properties like run-sys-prop.name=value instead of -Dname=value. +# To set system properties for unit tests define test-sys-prop.name=value: +run.jvmargs= +run.test.classpath=\ + ${javac.test.classpath}:\ + ${build.test.classes.dir} +source.encoding=UTF-8 +src.dir=src +test.src.dir=test diff --git a/src/main/Analyzor.java b/src/main/Analyzor.java index 0c3ede3..9c98a9d 100644 --- a/src/main/Analyzor.java +++ b/src/main/Analyzor.java @@ -1,345 +1,345 @@ -package main;
-
-import analysis.BrandChecker;
-import database.NamedPreparedStatement;
-import database.QueryUtils;
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.IOException;
-import java.io.PrintWriter;
-import java.io.UnsupportedEncodingException;
-import java.sql.Connection;
-import java.sql.PreparedStatement;
-import java.sql.ResultSet;
-import java.sql.SQLException;
-import java.util.List;
-import java.util.HashMap;
-import java.util.Map.Entry;
-import java.util.Scanner;
-
-/**
- * The sentiment analysis class that rates tweets based on a unigram and bigram
- * set of weights.
- */
-public class Analyzor {
-
- /**
- * The map that matches single words to their weights.
- */
- private final HashMap<String, Double> unimap = new HashMap();
-
- /**
- * The map that matches word pairs to their weights.
- */
- private final HashMap<String, Double> bimap = new HashMap();
-
- /**
- * The results of a query, maybe return from query().
- */
- private ResultSet data;
-
- /**
- * The persistent connection to the database.
- */
- private final Connection connection;
-
- /**
- * @param connection An open connection to the database.
- */
- public Analyzor(Connection connection) {
- this.connection = connection;
- }
-
- /**
- * Read the unigram and bigram lexica.
- *
- * @throws FileNotFoundException
- */
- public void readLexicon() throws FileNotFoundException {
- if (!unimap.isEmpty()) {
- // data is already read.
- return;
- }
- System.err.println("Trying to read lexicons...");
- // A unigram is in the format (WS = whitespace):
- // word <WS> rating <WS> ??? <WS> ??
- // A bigram has an two WS-separated words instead of one.
- try (Scanner uniScanner = new Scanner(new File("unigrams-pmilexicon.txt"));
- Scanner biScanner = new Scanner(new File("bigrams-pmilexicon.txt"));) {
- //Fill the map of unigrams
- int lineno = 1;
- while (uniScanner.hasNext()) {
-
- String words = uniScanner.next();
- Double d = Double.valueOf(uniScanner.next());
- unimap.put(words.toLowerCase(), d);
- if (uniScanner.hasNextLine()) {
- uniScanner.nextLine();
- }
- lineno++;
-
- }
-
- //fill the map of bigrams
- while (biScanner.hasNext()) {
- String words = biScanner.next() + " " + biScanner.next();
- bimap.put(words.toLowerCase(), Double.valueOf(biScanner.next()));
- if (biScanner.hasNextLine()) {
- biScanner.nextLine();
- }
- }
- }
- System.err.println("Lexicons are read.");
- }
-
- /**
- * Executes a query that the analyzer can analyze.
- *
- * @param query The query string to execute.
- * @throws SQLException When database connection isn't available.
- */
- public void query(String query) throws SQLException {
- PreparedStatement statement;
- //make a connection to the database and execute the query
- statement = connection.prepareStatement(query);
- data = statement.executeQuery();
- }
-
- /**
- * Run a sentiment analysis and fill the database with the output.
- *
- * @param query The sql text for the query.
- * @throws SQLException
- * @throws IOException
- */
- public void sentimentAnalysis(String query) throws SQLException, IOException {
- query(query);
-
- //read the lexicons
- readLexicon();
-
- //go to the start of te dataset
- if (data == null) {
- System.err.println("data is empty, try querying first");
- return;
- }
-
- Double value;
- String text;
-
- //for all tuples
- while (data.next()) {
- //get the text
- text = data.getString("text");
- text = splitPunctToWords(text);
- // test is the tweet text you are going to analyze
- String[] words = text.split("\\s+"); // text splitted into separate words
- double positiverate = 0; // positive rating
-
- // Rate the text with unigrams
- for (String word : words) {
- value = unimap.get(word);
- if (value != null) {
- positiverate += unimap.get(word);
- }
- }
- // Rate the text with bigrams
- for (int i = 0; i < words.length - 1; i++) {
- String pair = words[i] + " " + words[i + 1];
- value = bimap.get(pair);
- if (value != null) {
- positiverate += bimap.get(pair);
- }
- }
- //insert the rating into the database
- NamedPreparedStatement m_insertRating;
- m_insertRating = new NamedPreparedStatement(connection, QueryUtils.insertRating);
- QueryUtils.setInsertParams(m_insertRating, data.getLong("tweetid"), data.getString("brand"), (int) (positiverate * 10));
- m_insertRating.executeUpdate();
- //don't print the rate
- //System.out.println(text + ": " + (int) (positiverate * 10));
- }
- }
-
- /**
- * Make a wordcloud of the results of some query.
- *
- * @param query The sql text for a query.
- * @throws SQLException
- * @throws FileNotFoundException
- * @throws UnsupportedEncodingException
- */
- public void makeWordCloud(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException {
-
- query(query);
- //go to the start of the ResultSet data
- if (data == null) {
- System.err.println("data is empty, try querying first");
- return;
- }
-
- String text;
- String brand;
- String[] words;
- HashMap<String,HashMap<String, Integer>> wordcloud = new HashMap<>();
-
- while (data.next()) {
- //get brand
- brand=data.getString("brand");
- //make hashmap for each brand
- if(!wordcloud.containsKey(brand)){
- wordcloud.put(brand, new HashMap<String,Integer>());
- }
- //get the text
- text = data.getString("text");
- //remove punctuation, convert to lowercase and split on words
- text = removePunct(text);
- text = text.toLowerCase();
- words = text.split("\\s+");
- //for all words
- for (String word : words) {
- //if it is empty, a space or a stripe, skip it
- if(word.equals("") || word.equals(" ") || word.equals("-")){
- continue;
- }
- //if the word is already in the map, increment the amount
- if(wordcloud.get(brand).containsKey(word)){
- wordcloud.get(brand).put(word, wordcloud.get(brand).get(word) + 1);
- }
- //if the word is not already in the map, make an entry with amount = 1
- else{
- wordcloud.get(brand).put(word, 1);
- }
- }
- }
- //print the words and their frequency in a csv file
- mapToCSV(wordcloud, "wordcloud.csv", "brand,word,count");
- }
-
- //generate csv for disco from the query
- public void disco(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException {
- //do the query
- query(query);
- PrintWriter writer = new PrintWriter("output.csv", "UTF-8");
- //print the first row
- for (int i = 1; i < data.getMetaData().getColumnCount(); i++) {
- writer.print(data.getMetaData().getColumnLabel(i) + ", ");
- }
- writer.println(data.getMetaData().getColumnLabel(data.getMetaData().getColumnCount()));
- //print the values
- while (data.next()) {
- for (int i = 1; i < data.getMetaData().getColumnCount(); i++) {
- if (data.getObject(i) == null) {
- writer.print(", ");
- } else {
- writer.print(data.getObject(i).toString().replaceAll("[,\n]", " ") + ", ");
- }
- }
- if (data.getObject(data.getMetaData().getColumnCount()) == null) {
- writer.println("0");
- } else {
- writer.println(data.getObject(data.getMetaData().getColumnCount()).toString().replace(",", " "));
- }
- }
- writer.close();
- }
-
- public void getBrands() throws SQLException {
- PreparedStatement statement;
- //make a connection to the database and execute the query
- statement = connection.prepareStatement("delete from mentionsbrand");
- statement.executeUpdate();
- BrandChecker checker = new BrandChecker("brandonlyrules.txt");
- query("select * from tweet");
- NamedPreparedStatement m_insertBrand = new NamedPreparedStatement(connection, QueryUtils.insertBrand);
- while (data.next()) {
- List<String> brands = checker.getBrands(data.getString("text"));
- if (brands.isEmpty()) {
- QueryUtils.setInsertBrandParams(m_insertBrand, data.getLong("tweetid"), "no");
- m_insertBrand.executeUpdate();
- } else {
- for (String brand : brands) {
- QueryUtils.setInsertBrandParams(m_insertBrand, data.getLong("tweetid"), brand);
- m_insertBrand.executeUpdate();
- }
- }
- }
- }
-
- //gets the amount of users that tweet about a brand in a timezone
- //makes a csv file timezone, brand, amount
- public void timezone(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException{
- query(query);
- //hashmap timezone, brand, amount
- HashMap<String, HashMap<String, Integer>> timeMap = new HashMap<>();
- String timezone;
- String brand;
-
- while(data.next()){
- timezone = data.getString("timezone");
- brand = data.getString("brand");
- //if the timezone is already in the map
- if(timeMap.containsKey(timezone)){
- //if the brand for that timezone is already in the map
- if(timeMap.get(timezone).containsKey(brand)){
- //increment the amount
- timeMap.get(timezone).put(brand, timeMap.get(timezone).get(brand) + 1);
- }
- //if the brand for that timezone is not yet in the map
- else{
- //make a new entry for that brand with amount = 1
- timeMap.get(timezone).put(brand, 1);
- }
- }
- //if the timezone is not yet in the map
- else{
- //make a new hashmap for this map and fill it with the brand and the amount
- timeMap.put(timezone, new HashMap<String, Integer>());
- timeMap.get(timezone).put(brand, 1);
- }
- }
- //make the CSV out of the map
- mapToCSV(timeMap, "timezone.csv", "timezone,brand,count");
- }
-
- //replaces punctuation so it will be splitted
- //also removes urls
- private String splitPunctToWords(String text) {
- text = text.replaceAll("https?://\\S*", "");
- text = text.replaceAll("[!?):;\"']", " $0");
- text = text.replaceAll("[.,-](\\s|$)", " $0");
- text = text.replaceAll("\\s[(\"']", "$0 ");
- return text;
- }
-
- //removes punctuation
- //also removes urls
- private String removePunct(String text) {
- text = text.replaceAll("https?://\\S*", " ");
- text = text.replaceAll("@\\S*", " ");
- text = text.replaceAll("[^a-zA-Z0-9#_-]", " ");
- return text;
- }
-
- //prints a hashmap into a csv for a html application
- //Hashmap<key1, HashMap<key2, value>> becomes key1, key2, value
- //only for String, String, Integer
- void mapToCSV(HashMap<String, HashMap<String, Integer>> map, String fileName, String firstLine)
- throws FileNotFoundException, UnsupportedEncodingException{
-
- PrintWriter writer = new PrintWriter(fileName, "UTF-8");
-
- writer.println(firstLine);
-
- //loop over brands
- for(Entry en : map.entrySet()){
- //loop over words
- for(Entry e : map.get(en.getKey()).entrySet()){
- writer.println(en.getKey() + "," + e.getKey() + "," + e.getValue());
- }
- }
-
- writer.close();
- System.out.println("csv file made, please put it next to html file and run this");
- }
-}
+package main; + +import analysis.BrandChecker; +import database.NamedPreparedStatement; +import database.QueryUtils; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.IOException; +import java.io.PrintWriter; +import java.io.UnsupportedEncodingException; +import java.sql.Connection; +import java.sql.PreparedStatement; +import java.sql.ResultSet; +import java.sql.SQLException; +import java.util.List; +import java.util.HashMap; +import java.util.Map.Entry; +import java.util.Scanner; + +/** + * The sentiment analysis class that rates tweets based on a unigram and bigram + * set of weights. + */ +public class Analyzor { + + /** + * The map that matches single words to their weights. + */ + private final HashMap<String, Double> unimap = new HashMap(); + + /** + * The map that matches word pairs to their weights. + */ + private final HashMap<String, Double> bimap = new HashMap(); + + /** + * The results of a query, maybe return from query(). + */ + private ResultSet data; + + /** + * The persistent connection to the database. + */ + private final Connection connection; + + /** + * @param connection An open connection to the database. + */ + public Analyzor(Connection connection) { + this.connection = connection; + } + + /** + * Read the unigram and bigram lexica. + * + * @throws FileNotFoundException + */ + public void readLexicon() throws FileNotFoundException { + if (!unimap.isEmpty()) { + // data is already read. + return; + } + System.err.println("Trying to read lexicons..."); + // A unigram is in the format (WS = whitespace): + // word <WS> rating <WS> ??? <WS> ?? + // A bigram has an two WS-separated words instead of one. + try (Scanner uniScanner = new Scanner(new File("unigrams-pmilexicon.txt")); + Scanner biScanner = new Scanner(new File("bigrams-pmilexicon.txt"));) { + //Fill the map of unigrams + int lineno = 1; + while (uniScanner.hasNext()) { + + String words = uniScanner.next(); + Double d = Double.valueOf(uniScanner.next()); + unimap.put(words.toLowerCase(), d); + if (uniScanner.hasNextLine()) { + uniScanner.nextLine(); + } + lineno++; + + } + + //fill the map of bigrams + while (biScanner.hasNext()) { + String words = biScanner.next() + " " + biScanner.next(); + bimap.put(words.toLowerCase(), Double.valueOf(biScanner.next())); + if (biScanner.hasNextLine()) { + biScanner.nextLine(); + } + } + } + System.err.println("Lexicons are read."); + } + + /** + * Executes a query that the analyzer can analyze. + * + * @param query The query string to execute. + * @throws SQLException When database connection isn't available. + */ + public void query(String query) throws SQLException { + PreparedStatement statement; + //make a connection to the database and execute the query + statement = connection.prepareStatement(query); + data = statement.executeQuery(); + } + + /** + * Run a sentiment analysis and fill the database with the output. + * + * @param query The sql text for the query. + * @throws SQLException + * @throws IOException + */ + public void sentimentAnalysis(String query) throws SQLException, IOException { + query(query); + + //read the lexicons + readLexicon(); + + //go to the start of te dataset + if (data == null) { + System.err.println("data is empty, try querying first"); + return; + } + + Double value; + String text; + + //for all tuples + while (data.next()) { + //get the text + text = data.getString("text"); + text = splitPunctToWords(text); + // test is the tweet text you are going to analyze + String[] words = text.split("\\s+"); // text splitted into separate words + double positiverate = 0; // positive rating + + // Rate the text with unigrams + for (String word : words) { + value = unimap.get(word); + if (value != null) { + positiverate += unimap.get(word); + } + } + // Rate the text with bigrams + for (int i = 0; i < words.length - 1; i++) { + String pair = words[i] + " " + words[i + 1]; + value = bimap.get(pair); + if (value != null) { + positiverate += bimap.get(pair); + } + } + //insert the rating into the database + NamedPreparedStatement m_insertRating; + m_insertRating = new NamedPreparedStatement(connection, QueryUtils.insertRating); + QueryUtils.setInsertParams(m_insertRating, data.getLong("tweetid"), data.getString("brand"), (int) (positiverate * 10)); + m_insertRating.executeUpdate(); + //don't print the rate + //System.out.println(text + ": " + (int) (positiverate * 10)); + } + } + + /** + * Make a wordcloud of the results of some query. + * + * @param query The sql text for a query. + * @throws SQLException + * @throws FileNotFoundException + * @throws UnsupportedEncodingException + */ + public void makeWordCloud(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException { + + query(query); + //go to the start of the ResultSet data + if (data == null) { + System.err.println("data is empty, try querying first"); + return; + } + + String text; + String brand; + String[] words; + HashMap<String,HashMap<String, Integer>> wordcloud = new HashMap<>(); + + while (data.next()) { + //get brand + brand=data.getString("brand"); + //make hashmap for each brand + if(!wordcloud.containsKey(brand)){ + wordcloud.put(brand, new HashMap<String,Integer>()); + } + //get the text + text = data.getString("text"); + //remove punctuation, convert to lowercase and split on words + text = removePunct(text); + text = text.toLowerCase(); + words = text.split("\\s+"); + //for all words + for (String word : words) { + //if it is empty, a space or a stripe, skip it + if(word.equals("") || word.equals(" ") || word.equals("-")){ + continue; + } + //if the word is already in the map, increment the amount + if(wordcloud.get(brand).containsKey(word)){ + wordcloud.get(brand).put(word, wordcloud.get(brand).get(word) + 1); + } + //if the word is not already in the map, make an entry with amount = 1 + else{ + wordcloud.get(brand).put(word, 1); + } + } + } + //print the words and their frequency in a csv file + mapToCSV(wordcloud, "wordcloud.csv", "brand,word,count"); + } + + //generate csv for disco from the query + public void disco(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException { + //do the query + query(query); + PrintWriter writer = new PrintWriter("output.csv", "UTF-8"); + //print the first row + for (int i = 1; i < data.getMetaData().getColumnCount(); i++) { + writer.print(data.getMetaData().getColumnLabel(i) + ", "); + } + writer.println(data.getMetaData().getColumnLabel(data.getMetaData().getColumnCount())); + //print the values + while (data.next()) { + for (int i = 1; i < data.getMetaData().getColumnCount(); i++) { + if (data.getObject(i) == null) { + writer.print(", "); + } else { + writer.print(data.getObject(i).toString().replaceAll("[,\n]", " ") + ", "); + } + } + if (data.getObject(data.getMetaData().getColumnCount()) == null) { + writer.println("0"); + } else { + writer.println(data.getObject(data.getMetaData().getColumnCount()).toString().replace(",", " ")); + } + } + writer.close(); + } + + public void getBrands() throws SQLException { + PreparedStatement statement; + //make a connection to the database and execute the query + statement = connection.prepareStatement("delete from mentionsbrand"); + statement.executeUpdate(); + BrandChecker checker = new BrandChecker("brandonlyrules.txt"); + query("select * from tweet"); + NamedPreparedStatement m_insertBrand = new NamedPreparedStatement(connection, QueryUtils.insertBrand); + while (data.next()) { + List<String> brands = checker.getBrands(data.getString("text")); + if (brands.isEmpty()) { + QueryUtils.setInsertBrandParams(m_insertBrand, data.getLong("tweetid"), "no"); + m_insertBrand.executeUpdate(); + } else { + for (String brand : brands) { + QueryUtils.setInsertBrandParams(m_insertBrand, data.getLong("tweetid"), brand); + m_insertBrand.executeUpdate(); + } + } + } + } + + //gets the amount of users that tweet about a brand in a timezone + //makes a csv file timezone, brand, amount + public void timezone(String query) throws SQLException, FileNotFoundException, UnsupportedEncodingException{ + query(query); + //hashmap timezone, brand, amount + HashMap<String, HashMap<String, Integer>> timeMap = new HashMap<>(); + String timezone; + String brand; + + while(data.next()){ + timezone = data.getString("timezone"); + brand = data.getString("brand"); + //if the timezone is already in the map + if(timeMap.containsKey(timezone)){ + //if the brand for that timezone is already in the map + if(timeMap.get(timezone).containsKey(brand)){ + //increment the amount + timeMap.get(timezone).put(brand, timeMap.get(timezone).get(brand) + 1); + } + //if the brand for that timezone is not yet in the map + else{ + //make a new entry for that brand with amount = 1 + timeMap.get(timezone).put(brand, 1); + } + } + //if the timezone is not yet in the map + else{ + //make a new hashmap for this map and fill it with the brand and the amount + timeMap.put(timezone, new HashMap<String, Integer>()); + timeMap.get(timezone).put(brand, 1); + } + } + //make the CSV out of the map + mapToCSV(timeMap, "timezone.csv", "timezone,brand,count"); + } + + //replaces punctuation so it will be splitted + //also removes urls + private String splitPunctToWords(String text) { + text = text.replaceAll("https?://\\S*", ""); + text = text.replaceAll("[!?):;\"']", " $0"); + text = text.replaceAll("[.,-](\\s|$)", " $0"); + text = text.replaceAll("\\s[(\"']", "$0 "); + return text; + } + + //removes punctuation + //also removes urls + private String removePunct(String text) { + text = text.replaceAll("https?://\\S*", " "); + text = text.replaceAll("@\\S*", " "); + text = text.replaceAll("[^a-zA-Z0-9#_-]", " "); + return text; + } + + //prints a hashmap into a csv for a html application + //Hashmap<key1, HashMap<key2, value>> becomes key1, key2, value + //only for String, String, Integer + void mapToCSV(HashMap<String, HashMap<String, Integer>> map, String fileName, String firstLine) + throws FileNotFoundException, UnsupportedEncodingException{ + + PrintWriter writer = new PrintWriter(fileName, "UTF-8"); + + writer.println(firstLine); + + //loop over brands + for(Entry en : map.entrySet()){ + //loop over words + for(Entry e : map.get(en.getKey()).entrySet()){ + writer.println(en.getKey() + "," + e.getKey() + "," + e.getValue()); + } + } + + writer.close(); + System.out.println("csv file made, please put it next to html file and run this"); + } +} |