Refactoring of all classes and packages, tokenizer (Apache Lucene removed) to be Android ready, and the single language concept towards multi-language. Some fixes. Some Java 1.7 compatible object-oriented and performance improvements. Tests 100% OK!

Author: nunoachenriques

README.md

@@ -4,16 +4,23 @@ VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon
 and rule-based sentiment analysis tool that is _specifically attuned
 to sentiments expressed in social media_.
 
-This is a fork with **API and package names breaking changes** of the
+This is an implementation of the VADER in Java. It started as a fork of the
 [Java port by Animesh Pandey](https://github.com/apanimesh061/VaderSentimentJava)
-of the
-[NLTK VADER sentiment analysis module](http://www.nltk.org/api/nltk.sentiment.html#module-nltk.sentiment.vader)
-written in Python and optimized from the original.
-
- - The [NLTK](http://www.nltk.org/_modules/nltk/sentiment/vader.html)
-   Python source code.
- - The [Original](https://github.com/cjhutto/vaderSentiment) Python
-   source code by the paper's author C.J. Hutto.
+of the [NLTK VADER sentiment analysis module](http://www.nltk.org/api/nltk.sentiment.html#module-nltk.sentiment.vader)
+written in Python ([NLTK VADER source code](http://www.nltk.org/_modules/nltk/sentiment/vader.html))
+from the [original project](https://github.com/cjhutto/vaderSentiment) by
+the paper's author C.J. Hutto. It's the same algorithm as an improved
+tool by extensive rewriting with **relevant changes**:
+ 
+ - Android ready.
+ - API and package names breaking changes.
+ - Java 1.7 compatible.
+ - Performance improvements (e.g., `LinkedList` where's better O() than
+   `ArrayList`).
+
+**In progress**
+
+ - Multi-language (refer to section [Languages](#languages)).
 
 ## Repository
 
@@ -51,22 +58,39 @@ https://github.com/nunoachenriques/vader-sentiment-analysis/releases
 
 ## Testing
 
-The tests from the original Java port are validated against the ground truth of
-the original Python (NLTK) implementation. The algorithm running is still the
-original implementation from Hutto & Gilbert in Python and ported to Java by
-Animesh Pandey.
+All tests are **100% OK** as expected!
 
 ```shell
 ./gradlew test
 ```
 
+## Languages
+
+To support several languages there's the `Language` interface
+(`text` subpackage) to be implemented and, eventually, the `Tokenizer` too.
+The **main effort** will be in all the research around the specific language
+significant words, idiomatic expressions, constant and empirical values.
+Moreover, a data set has to be produced and validated by humans as
+_ground truth_ for testing purposes.
+
+### English (Germanic family of languages)
+
+The tests from the original Java port are validated against the _ground truth_
+of the original Python (NLTK) implementation. The algorithm running is still the
+original implementation from Hutto & Gilbert in Python and originally ported to
+Java by Animesh Pandey with modifications by Nuno A. C. Henriques.
+
+### Portuguese (Italic family of languages)
+
+**TODO**
+
 ## Use case example
 
-As a Java library it will easily integrates with a bit of coding.
+As a Java library it will easily integrate with a bit of coding.
 
 ```java
 ...
-ArrayList<String> sentences = new ArrayList<String>() {{
+List<String> sentences = new LinkedList<>() {{
     add("VADER is smart, handsome, and funny.");
     add("VADER is smart, handsome, and funny!");
     add("VADER is very smart, handsome, and funny.");
@@ -86,7 +110,7 @@ ArrayList<String> sentences = new ArrayList<String>() {{
     add("Today kinda sux! But I'll get by, lol");
 }};
 
-SentimentAnalysis sa = new SentimentAnalysis();
+SentimentAnalysis sa = new SentimentAnalysis(new TokenizerEnglish(), new English());
 
 for (String sentence : sentences) {
     System.out.println(sentence);

VERSION

@@ -1 +1 @@
-1.1
+2.0.0

build.gradle

@@ -15,6 +15,14 @@ repositories {
 dependencies {
     implementation fileTree(include: ['*.jar'], dir: 'src/main/dist')
     testImplementation 'junit:junit:4.12'
+    testImplementation 'org.apache.lucene:lucene-core:5.5.4'
+    testImplementation 'org.apache.lucene:lucene-analyzers-common:5.5.4'
+}
+
+test {
+    // For comparision only, different results on Tokenizer vs. Lucene
+    // but final ground truth results are the same (expected).
+    exclude 'net/nunoachenriques/vader/text/Tokenizer*'
 }
 
 // EXTRA PACKAGING FOR RELEASE DISTRIBUTION

src/main/dist/commons-lang-2.6.jar

@@ -0,0 +1,39 @@
+/*
+ * Copyright 2017 Nuno A. C. Henriques [nunoachenriques.net]
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package net.nunoachenriques.vader;
+
+/**
+ * The VADER's constant values (e.g., NORMALIZE_SCORE_ALPHA_DEFAULT)
+ * for configurations and other uses among the algorithm.
+ *
+ * @author Nuno A. C. Henriques [nunoachenriques.net]
+ */
+class Constant {
+
+    // Private constructor to avoid instantiation.
+    private Constant() {
+        // Void!
+    }
+
+    // TODO check SentimentAnalysis for missing constants!
+
+    static final float NORMALIZE_SCORE_ALPHA_DEFAULT = 15.0f;
+    static final float ALL_CAPS_BOOSTER_SCORE = 0.733f;
+    static final float N_SCALAR = -0.74f;
+    static final float EXCLAMATION_BOOST = 0.292f;
+    static final float QUESTION_BOOST_COUNT_3 = 0.18f;
+    static final float QUESTION_BOOST = 0.96f;
+}