Sentiment analysis (by Mattia Atzeni)

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NAO/Zora can automatically understand the polarity of what the user says. Based on the sentiment, the robot will make a neutral, positive or negative animation.

Prerequisites

1. Apache Maven needs to be installed.
2. Download glove.6B and place all the text files into WordVectors/glove.6B/
3. Download SentiWordNet_3.0 in the root of the porject

wget -O SentiWordNet_3.0.txt https://github.com/aesuli/SentiWordNet/raw/master/data/SentiWordNet_3.0.0.txt

4. Download opennlp files

cd BUPPolarityDetection/opennlp/ &&\
wget http://opennlp.sourceforge.net/models-1.5/en-ner-date.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-ner-location.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-ner-organization.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-parser-chunking.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-pos-maxent.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-pos-perceptron.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-sent.bin &&\
wget http://opennlp.sourceforge.net/models-1.5/en-token.bin &&\
wget https://github.com/aciapetti/opennlp-italian-models/raw/master/models/it/it-pos-maxent.bin &&\
wget https://github.com/aciapetti/opennlp-italian-models/raw/master/models/it/it-pos_perceptron.bin &&\
wget https://github.com/aciapetti/opennlp-italian-models/blob/master/models/it/it-sent.bin &&\
wget https://github.com/aciapetti/opennlp-italian-models/blob/master/models/it/it-token.bin

5. Export Maven opts

echo 'export MAVEN_OPTS="-Xmx2G -Dorg.bytedeco.javacpp.maxbytes=10G -Dorg.bytedeco.javacpp.maxphysicalbytes=10G"' >> ~/.bashrc &&\
source ~/.bashrc

Usage with NAO/Zora

1. Go in the root of the project
2. Start the polarity detection service. <PATH_TO_MAVEN> should be changed with the directory to the local installed Maven.

cd ZoraSA/BUPPolarityDetection/  && \
<PATH_TO_MAVEN>/bin/mvn jetty:run -Djetty.http.port=8080

2. Open the Choregraphe project, right click on the SA box, click Set parameter and set as URL the url of the preceded server (something like http://<IP>:8080/sa/service, where IP is the internet address of the computer where Jetty is running)
3. Start the behavior, and after been said Hey Zora, wait for the beep and for eyes becoming blue, and say execute sentiment analysis
4. Say or write in the dialog box the text