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An interactive Streamlit web app for exploring and visualizing word embeddings using pre-trained models like GloVe, Word2Vec, and FastText.

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Amir-SaberHabibi/word-embedding-explorer

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Word Embedding Explorer

Streamlit Python License

Overview

The Word Embedding Explorer is an interactive web app for exploring and visualizing word embeddings using pre-trained models like GloVe, Word2Vec, and FastText. It offers features such as word analogies, nearest neighbors, similarity comparisons, and 3D visualizations.

Word Embedding Tool

Features

  • Word Analogies: Compute analogies like king - man + woman = queen.
  • Nearest Neighbors: Find closest words in the embedding space.
  • Word Similarity: Compare similarity between two words.
  • Interactive 3D Exploration: Visualize word embeddings in 3D.
  • Word Embeddings: Retrieve embeddings for words or phrases.

Installation

  1. Clone the repo:
    git clone https://github.com/<your-username>/streamlit-word-embedding-tool.git
    cd streamlit-word-embedding-tool

About

An interactive Streamlit web app for exploring and visualizing word embeddings using pre-trained models like GloVe, Word2Vec, and FastText.

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