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Observeing the semantic evolution of Xenophobic slurs using word embedding's.

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Project Title:

Xenophobic Behavior on Social Media

Project Description:

In this project, I have shown the most similar words of the xenophobic words using word2vec, Fasttext, and GloVe models. I have also applied time series to demonstrate the mentions of xenophobic words using Chinese and Jews datasets. Additionally, I utilized n-grams (bigram, trigram) to visually depict the datasets. Finally, I compared the xenophobic terms in each dataset after combining them.

Word Embedding Techniques:

Word2vec, Fasttext, GloVe.

Language:

Python

IDE:

Google Colab

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Observeing the semantic evolution of Xenophobic slurs using word embedding's.

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