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Deeplearning Doc2vec Machine learning Word vectors Word2vec
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  1. Workflow
    Simple Document Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +4
    This example shows how to transform a document into a vector using a word vector model and using these vectors for classification…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 07_Simple_Document_Classification_Using_Word_Vectors
    0
  2. Workflow
    Calculate Document Distance using Word Vectors
    Deeplearning Machine learning Word2vec
    +3
    First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 06_Calculate_Document_Distance_Using_Word_Vectors
    0
  3. Workflow
    Sarcasm Detected with Machine Learning
    Redfield BERT Sarcasm
    +3
    In this workflow we are using BERT embeddings to detect sarcasm in texts. Other cases for embeddings are also considered: using P…
    redfield > Public > Sarcasm_detection_with_BERT_by_Redfield
    0
  4. Workflow
    Sentiment Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +5
    This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…
    faryal > Public > 08_Sentiment_Classification_Using_Word_Vectors
    0
  5. Workflow
    Calculate Document Distance using Word Vectors
    Deeplearning Machine learning Word2vec
    +3
    First, we read in a dataset containing sentences and assign each document a unique label. The unique label is used to create a do…
    polathdr > Public > 06_Calculate_Document_Distance_Using_Word_Vectors
    0
  6. Workflow
    Neo4j graph embeddings for ML
    Neo4j Graph Embeddings
    +2
    The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.
    r10s > Public > Nashville_meetup_demo
    0
  7. Workflow
    Neo4j graph embeddings for ML
    Neo4j Graph Embeddings
    +2
    The workflow describes a simple use case how Neo4j Graph Data Science and Knime algorithms can be used together.
    redfield > Public > Nashville_meetup_demo
    0
  8. Workflow
    Sentiment Classification using Word Vectors
    Deeplearning Machine learning Word2vec
    +5
    This example shows how to perform sentiment classification using word vectors. In this example, we use IMDb reviews which have ei…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 08_Sentiment_Classification_Using_Word_Vectors
    0