How to train a Word2Vec model using the gensim …

To train a Word2Vec model using the gensim library, you need to follow these steps: 1. Import the `gensim` module. 2. Prepare the text data by splitting it into sentences or phr…

How to preprocess text data before training a W…

To preprocess text data before training a Word2Vec model, there are a few common steps: 1. Tokenization: splitting the text into individual words or phrases, called tokens. 2. L…

How to visualize Word2Vec embeddings using t-SN…

To visualize Word2Vec embeddings using t-SNE or PCA, the first step is to extract the embeddings for each word in the vocabulary. Once you have the embeddings, you can use dimensi…

How to visualize Word2Vec embeddings in Gensim?

To visualize Word2Vec embeddings in Gensim, you can use the t-SNE algorithm to reduce the dimensionality of the embeddings, and then plot them using a scatter plot. Here is an exa…