word-embedding

tensorflow2.x keras Embedding layer process tf.dataset error Question: This question is a follow-up of tensorflow 2 TextVectorization process tensor and dataset error I would like to make do a word embedding for the processed text with tnesorflow 2.8 on Jupyter. def standardize(input_data): input_data = tf.strings.lower(input_data) input_data = tf.strings.regex_replace(input_data, f"[{re.escape(string.punctuation)}]", " ") return input_data # the …

Community detection for larger than memory embeddings dataset Question: I currently have a dataset of textual embeddings (768 dimensions). The current number of records is ~1 million. I am looking to detect related embeddings through a community detection algorithm. For small data sets, I have been able to use this one: https://github.com/UKPLab/sentence-transformers/blob/master/examples/applications/clustering/fast_clustering.py It works great, …

I am getting the following error when importing import texthero as hero Question: I have been trying to load texthero into python but keep getting this error. I have already upgraded the gensim module. Error ModuleNotFoundError Traceback (most recent call last) <ipython-input-24-0692be95f55a> in <module>() —-> 1 import texthero as hero 2 import pandas as pd …

Word embedding with gensim and FastText, training on pretrained vectors Question: I am trying to load the pretrained vec file of Facebook fasttext crawl-300d-2M.vec with the next code: from gensim.models.fasttext import load_facebook_model, load_facebook_vectors model_facebook = load_facebook_vectors(‘fasttext/crawl-300d-2M.vec’) But it fails with the next error: NotImplementedError: Supervised fastText models are not supported It is not possible to …

Is it possible to freeze only certain embedding weights in the embedding layer in pytorch? Question: When using GloVe embedding in NLP tasks, some words from the dataset might not exist in GloVe. Therefore, we instantiate random weights for these unknown words. Would it be possible to freeze weights gotten from GloVe, and train only …

Unable to install genism on google colab Question: I’m trying to insall genism on google colab instance using the following command: !pip install genism But I’m getting an error: Could not find a version that satisfies the requirement genism (from versions: ) No matching distribution found for genism Asked By: Hussain Shahbaz Khawaja || Source …

How does mask_zero in Keras Embedding layer work? Question: I thought mask_zero=True will output 0’s when the input value is 0, so the following layers could skip computation or something. How does mask_zero works? Example: data_in = np.array([ [1, 2, 0, 0] ]) data_in.shape >>> (1, 4) # model x = Input(shape=(4,)) e = Embedding(5, …

What does tf.nn.embedding_lookup function do? Question: tf.nn.embedding_lookup(params, ids, partition_strategy=’mod’, name=None) I cannot understand the duty of this function. Is it like a lookup table? Which means to return the parameters corresponding to each id (in ids)? For instance, in the skip-gram model if we use tf.nn.embedding_lookup(embeddings, train_inputs), then for each train_input it finds the correspond …