Example #1
0
 public void Setup()
 {
     reviewMock = new Mock <IParsedReview>();
     splitter   = ActualWordsHandler.InstanceSimple.TextSplitter;
     detector   = new AspectDectector(new IWordItem[] { }, new IWordItem[] { });
     ActualWordsHandler.InstanceSimple.Container.Context.ChangeAspect(detector);
 }
        public void Setup()
        {
            var words = new List <IWordItem>();

            for (var i = 0; i < 100; i++)
            {
                var word = new Mock <IWordItem>();
                word.Setup(item => item.Text).Returns(i.ToString);
                words.Add(word.Object);
            }

            instance = new AspectDectector(words.ToArray(), words.ToArray());
        }
Example #3
0
        public void Setup()
        {
            var words = new List <IWordItem>();

            for (var i = 0; i < 100; i++)
            {
                var word = new Mock <IWordItem>();
                word.Setup(item => item.Text).Returns(i.ToString);
                words.Add(word.Object);
            }

            instance   = new AspectDectector(words.ToArray(), words.ToArray());
            serializer = (AspectSerializer)ActualWordsHandler.InstanceSimple.Container.Resolve <IAspectSerializer>();
        }
        public async Task Setup()
        {
            var aspect = new AspectDectector(new IWordItem[] { }, new IWordItem[] { });

            ActualWordsHandler.InstanceSimple.Container.Context.ChangeAspect(aspect);
            aspect.AddFeature(ActualWordsHandler.InstanceSimple.WordFactory.CreateWord("teacher", POSTags.Instance.NN));
            var data = await ActualWordsHandler.InstanceSimple.TextSplitter.Process(new ParseRequest("I like my school teacher.")).ConfigureAwait(false);

            var document = data.Construct(ActualWordsHandler.InstanceSimple.WordFactory);

            review = ActualWordsHandler.InstanceSimple.Container.Resolve <Func <Document, IParsedReviewManager> >()(document).Create();
            var sentence = review.Sentences[0];

            instance = new ExtractSentenceTextVector(sentence);
        }