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Augmenting word embeddings with their surrounding context using bidirectional RNN
A simple interface where users can search for contextually relevant text passages in documents. It employs DistilBERT model for semantic embeddings and FAISS for efficient similarity search. When users enter a query, the system returns the most contextually relevant text passage from the corpus and highlights the matched keywords.
Tensorflow implementation of "SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings"
Recommender Systems for the Spotify Million Playlist Dataset Challenge