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and evaluates their impact on semantic similarity, analogy reasoning,
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and downstream text classification tasks.
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- Systematic Word2Vec hyperparameter study
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- Intrinsic evaluation using WordSim353 and BATS
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- Qualitative semantic analysis
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- Downstream text classification comparison
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##
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---
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tags:
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- nlp
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- word2vec
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- embeddings
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- benchmark
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- text-classification
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# Word2Vec NLP Benchmarking
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This repository contains a notebook to benchmark word embeddings and perform text classification tasks.
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## Notebook
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- `wordtovec_nlp.ipynb` : Notebook for evaluating Word2Vec embeddings on text classification benchmarks.
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## Description
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This project demonstrates:
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- Training Word2Vec models (CBOW and Skip-gram)
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- Benchmarking different embedding dimensions
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- Evaluating embeddings on text classification tasks
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## Usage
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Clone the repository and open the notebook:
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```bash
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git clone https://huggingface.co/<your-username>/<repo-name>
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