Category "word2vec"

Generating multiple labels for documents

Currently, i am working on a task where we are scraping pages from web and trying to generate labels for each webpage. For that, we have extracted the text data

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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