@@ -105,6 +105,22 @@ The following parameters can be set:
text (string): The text that will be summarized.
An explanation on how the strategy works including code: https://medium.com/nerd-for-tech/extractive-text-summarization-using-sentence-transformer-and-kmeans-clustering-algorithm-e942a6b33860
<ins>Word Embedding</ins>
The class 'WordEmbeddingSummarizer' is implemented in 'summary_word_embedding.py'. It implements a method called 'summarize' which returns a summary created with the strategy Word Embedding using the SpaCy library.
How to call the method:
```
summaryWordEmbedding = WordEmbeddingSummarizer()
summary = summaryWordEmbedding.summarize(text)
```
The following parameters can be set:
text (string): The text that will be summarized.
An explanation on how the strategy works including code: https://www.mkbergman.com/2416/cwpk-64-embeddings-summarization-and-entity-recognition/