Category "word2vec"

Use the polarity distribution of word to detect the sentiment of new words

I have just started a project in NLP. Suppose I have a graph for each word that shows the polarity distribution of sentiments for that word in different sentenc

AttributeError: The vocab attribute was removed from KeyedVector in Gensim 4.0.0

AttributeError Traceback (most recent call last) ~/Desktop/implimentaion/train.py in 31 use_w2v = True 32 ---> 33 train_df, embed

What is the data type of X in pca.fit_transform(X)?

I got a word2vec model abuse_model trained by Gensim. I want to apply PCA and make a plot on CERTAIN words that I only care about (vs. all words in the model).

Automatic calculate Recall/ Precision to Word2vec model

i am doing synonym-detection based on word2vec models with gensim. What possibilities are for automatic calculate of recall and precision. I just want some metr

How to calculate similarity for pre-trained word embeddings

I want to know the most similar words to another from a pretrained embedding vectors in R. E.g: words similar to "beer". For this, I download the pretrained emb

How to load a pre-trained Word2vec MODEL File and reuse it?

I want to use a pre-trained word2vec model, but I don't know how to load it in python. This file is a MODEL file (703 MB). It can be downloaded here:http://dev

Ensure the gensim generate the same Word2Vec model for different runs on the same data

In LDA model generates different topics everytime i train on the same corpus , by setting the np.random.seed(0), the LDA model will always be initialized and tr

gensim error : no module named gensim

I trying to import gensim. I have the following code import gensim model = gensim.models.Word2Vec.load_word2vec_format('./model/GoogleNews- vectors-negative

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