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"

Implementation and evaluation of an autonomous SSI-enhanced iSHARE framework, enabling decentralized identity management, schema alignment for property matching, and automated generation of alternative verification requests, improving scalability, privacy, and flexibility in data spaces and SSI ecosystems.

Recommender Systems for the Spotify Million Playlist Dataset Challenge