use of edu.uci.ics.texera.dataflow.source.tuple.TupleSourceOperator in project textdb by TextDB.
the class EmojiSentimentTest method test2.
/*
* Test sentiment with a neutral sentence, result should be 2 (neutral)
*/
@Test
public void test2() throws TexeraException {
TupleSourceOperator tupleSource = new TupleSourceOperator(Arrays.asList(EmojiSentimentTestConstants.NEUTRAL_TUPLE), EmojiSentimentTestConstants.SENTIMENT_SCHEMA);
EmojiSentimentOperator sentiment = new EmojiSentimentOperator(new EmojiSentimentPredicate(EmojiSentimentTestConstants.TEXT, "sentiment"));
TupleSink tupleSink = new TupleSink();
sentiment.setInputOperator(tupleSource);
tupleSink.setInputOperator(sentiment);
tupleSink.open();
List<Tuple> results = tupleSink.collectAllTuples();
tupleSink.close();
Tuple tuple = results.get(0);
Assert.assertEquals(tuple.getField("sentiment").getValue(), SentimentConstants.NEUTRAL);
}
use of edu.uci.ics.texera.dataflow.source.tuple.TupleSourceOperator in project textdb by TextDB.
the class EmojiSentimentTest method test3.
/*
* Test sentiment with a negative sentence, result should be 1 (negative)
*/
@Test
public void test3() throws TexeraException {
TupleSourceOperator tupleSource = new TupleSourceOperator(Arrays.asList(EmojiSentimentTestConstants.NEGATIVE_TUPLE1), EmojiSentimentTestConstants.SENTIMENT_SCHEMA);
EmojiSentimentOperator sentiment = new EmojiSentimentOperator(new EmojiSentimentPredicate(NlpSentimentTestConstants.TEXT, "sentiment"));
TupleSink tupleSink = new TupleSink();
sentiment.setInputOperator(tupleSource);
tupleSink.setInputOperator(sentiment);
tupleSink.open();
List<Tuple> results = tupleSink.collectAllTuples();
tupleSink.close();
Tuple tuple = results.get(0);
Assert.assertEquals(tuple.getField("sentiment").getValue(), SentimentConstants.NEGATIVE);
}
use of edu.uci.ics.texera.dataflow.source.tuple.TupleSourceOperator in project textdb by TextDB.
the class NlpSentimentTest method test2.
/*
* Test sentiment with a neutral sentence, result should be 2 (neutral)
*/
@Test
public void test2() throws TexeraException {
TupleSourceOperator tupleSource = new TupleSourceOperator(Arrays.asList(NlpSentimentTestConstants.NEUTRAL_TUPLE), NlpSentimentTestConstants.SENTIMENT_SCHEMA);
NlpSentimentOperator sentiment = new NlpSentimentOperator(new NlpSentimentPredicate(NlpSentimentTestConstants.TEXT, "sentiment"));
TupleSink tupleSink = new TupleSink();
sentiment.setInputOperator(tupleSource);
tupleSink.setInputOperator(sentiment);
tupleSink.open();
List<Tuple> results = tupleSink.collectAllTuples();
tupleSink.close();
Tuple tuple = results.get(0);
Assert.assertEquals(tuple.getField("sentiment").getValue(), SentimentConstants.NEUTRAL);
}
use of edu.uci.ics.texera.dataflow.source.tuple.TupleSourceOperator in project textdb by TextDB.
the class NltkSentimentOperatorTest method test3.
/*
* Test batch processing of operator. All test results should be negative
*/
@Test
public void test3() throws TexeraException {
int batchSize = 30;
int tupleSourceSize = 101;
List<Tuple> listTuple = new ArrayList<>();
for (int i = 0; i < tupleSourceSize; i++) {
listTuple.add(NltkSentimentTestConstants.NEGATIVE_TUPLE);
}
TupleSourceOperator tupleSource = new TupleSourceOperator(listTuple, NltkSentimentTestConstants.SENTIMENT_SCHEMA);
NltkSentimentOperator nltkSentimentOperator = new NltkSentimentOperator(new NltkSentimentOperatorPredicate(NlpSentimentTestConstants.TEXT, "sentiment", batchSize, MODEL_FILE_NAME));
TupleSink tupleSink = new TupleSink();
nltkSentimentOperator.setInputOperator(tupleSource);
tupleSink.setInputOperator(nltkSentimentOperator);
tupleSink.open();
List<Tuple> results = tupleSink.collectAllTuples();
tupleSink.close();
for (int i = 0; i < tupleSourceSize; i++) {
Tuple tuple = results.get(i);
Assert.assertEquals(tuple.getField("sentiment").getValue(), SentimentConstants.NEGATIVE);
}
}
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