armintabari/Emotional-Embedding
Retraining embedding models to incorporate emotional constraints.
This tool helps researchers and natural language processing practitioners refine existing word embeddings to better reflect the emotional content of words. You provide a pre-trained set of word vectors, and it produces a new set of vectors that are specifically tuned to capture emotional nuances. This is ideal for linguists, psychologists, or NLP model developers working with sentiment analysis or emotion detection.
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Use this if you need word embeddings that more accurately represent the emotional qualities of language for tasks like sentiment analysis or psychological text analysis.
Not ideal if you are looking for a complete, end-to-end sentiment analysis solution or if you don't have existing pre-trained word embeddings.
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13
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Language
Python
License
—
Category
Last pushed
Jun 19, 2019
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0
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