Word2Vec CBOW And PCA To 2 Dim

Training the Word2Vec CBOW model with articles to convert keywords to vectors, reducing to 2 dimensions using PCA, determining 5 clusters with KMeans, and achieving vector visualization.

Overview

• Language: Python v3.9.15
• Package: gensim v4.1.2
• Model: Word2vec CBOW

Requirement

• article to train Word2vec

• dictionary to cut word from article

Run

train model

python cbow-word2vec.py

use model

python keyword-vector.py

Example Of Result

PCA (using tableau)