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Oct 14, 2017 - Jupyter Notebook
doc2vec-word2vec
Here are 33 public repositories matching this topic...
Python in use of pandas, numpy, sklearn, statsmodels, gensim, matplotlib, plotly, seaborn, bokeh
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Jul 23, 2020 - Jupyter Notebook
Doc2Vec Project
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Nov 4, 2018 - Python
a case-study within the "sirius.AI" program
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Jan 15, 2024 - Python
Document Similarity Measurement Using Doc2Vec and Gensim Library
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Sep 24, 2023 - Python
This application detects duplicate product listings in a large datadump of product listings from Flipkart
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Jan 16, 2020 - Python
This project aims to solve the recruitment process of Unite UW (on campus cultural organization at the University of Washington) by developing a custom ranking function using sentiment analysis and mathematical modelling.
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Nov 14, 2018 - Python
Repo with basic start on Recurrent Neural Networks, Word2Vec, Doc2Vec, TFIDF vectors and NLP basics
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Jul 25, 2023 - Python
Spam classification of sms data using doc2vec model
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Jan 26, 2018 - Python
Text classifier for document embeddings
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Mar 17, 2017 - Python
Analysing COVID-19 Vaccine related user comments on Reddit Platform using Doc2Vec generated clusters and Topic Modelling Methods
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Feb 1, 2022 - Jupyter Notebook
Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
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Mar 16, 2024 - Jupyter Notebook
POStURE - A Framework for Analyzing Political Speeches Evolution and Similarities with Learned Linguistic Representations
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Nov 6, 2020 - Jupyter Notebook
K-means+Doc2vec 用於痞客幫開放資料文章分類
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Jul 1, 2019 - Python
Classe responsável por simplificar o processo de criação de um modelo Doc2Vec (gensim) com facilitadores para geração de um vocab personalizado e com a geração de arquivos de curadoria. Dicas usando elasticsearch e singlestore.
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Mar 13, 2023 - Python
D3-Network Visualization with WordEmbedding Space
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Jan 5, 2023 - JavaScript
Representação de letras de músicas em vetores para análises semânticas e sintáticas.
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Jan 15, 2018 - Jupyter Notebook
A rudimentary Implementation of a simple neural ranking model. Based on word embeddings (Glove, Fasttext). The pre-trained model's inherent vector cosine similarity is the main metric for consideration.
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Oct 1, 2020 - Jupyter Notebook
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