An unsupervised algorithm for textual similarity.
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Jan 15, 2019 - Python
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word-embeddings
Here are 1,056 public repositories matching this topic...
NLP Basics trained on various TFDS
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Sep 1, 2020 - Python
News article analyser using OpenAI API
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May 26, 2025 - Python
Ceng596 Information Retrieval Course Project, InfoNinjas
information-retrieval word-embeddings query-expansion relevance-feedback information-retrieval-evaluation
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Jun 16, 2023 - Jupyter Notebook
Reproducible implementation of the paper "Tired of Topic Models? Clusters of Pretrained Word Embeddings...".
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Mar 10, 2023 - Python
Equalizing gender biases in neural machine translation
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May 12, 2019
Homework on mutlilingual word embeddings and sentence classification - MVA MSc
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Apr 8, 2023 - Jupyter Notebook
A TensorFlow implementation of the skip-gram model
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Nov 2, 2020 - Python
Word vector is a model of multi-dimensional vector representation of words. Similarity in the vector values often accompanies a semantic relation between words. But exploring the vector space further, we can find more interesting and surprising relations. I will shed some light on the mathematical meaning of the word vectors using an interactive…
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Oct 7, 2021 - Jupyter Notebook
Machine Learning for NLP course at VU
machine-learning natural-language-processing naive-bayes linear-regression word-embeddings language-modeling feature-extraction lstm-model language-model nlp-machine-learning svm-classifier gridsearch bert-model
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Dec 16, 2022 - Jupyter Notebook
Interactive word vector analogy quiz game powered by Word2Vec. Test your understanding of semantic word relationships through vector arithmetic!
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Sep 1, 2025 - Python
This project solves the IMDB review classification problem, which is a case study of Deep Learning with Python (See section 6.1.3). The book has an implementaion in Keras. I re-implement it using PyTorch.
nlp deep-learning tokenizer word-embeddings imdb pytorch glove review-classifier review-classification deep-learning-wtih-python
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Jul 22, 2023 - Jupyter Notebook
Natural Language Processing(NLP) with Deep Learning in Keras . Course offered by Udemy . Created and taught by Carlos Quiros .
python nlp sentiment-analysis text-classification word2vec word-embeddings convnet text-generation spacy lstm gru nltk rnn semantic-similarity glove fasttext cbow skipgram encoder-decoder-attention
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Jul 9, 2020 - Jupyter Notebook
gsitk is a framework to perform a wide variety of sentiment analysis tasks including dataset acquisition, text preprocessing, model design, and performance evaluation. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001643
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May 12, 2021 - Python
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Feb 12, 2018 - Jupyter Notebook
Verbal periphrases (a subtype of multiword expressions) clustering for spanish.
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May 11, 2017 - TeX
Naming colors with Machine Learning
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Oct 24, 2019 - Jupyter Notebook
Deep learning for natural language processing
python deep-learning text-classification machine-translation word-embeddings bag-of-words image-captioning data-preprocessing language-model keras-tensorflow
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Dec 16, 2024 - Jupyter Notebook
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
word-embeddings lstm-model keras-models sentiment-classification word-vectors softmax-layer embedding-layer-keras document-vector
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Jan 26, 2022 - Jupyter Notebook
"Historical NLP Analysis of Queer Semantics in American Culture" Using the methods k-nearest neighbors, collocation, stereotype quantification from word embeddings, and concordance, I found that significant semantic shifts during the gay rights movement and AIDS empidemic
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Jan 3, 2023 - Jupyter Notebook
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