Doc2Vec Project
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Updated
Nov 4, 2018 - Python
Doc2Vec Project
Python in use of pandas, numpy, sklearn, statsmodels, gensim, matplotlib, plotly, seaborn, bokeh
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.
Repo with basic start on Recurrent Neural Networks, Word2Vec, Doc2Vec, TFIDF vectors and NLP basics
This application detects duplicate product listings in a large datadump of product listings from Flipkart
Document Similarity Measurement Using Doc2Vec and Gensim Library
About Statistical and Semantical Text Summarizer in Persian Language
Spam classification of sms data using doc2vec model
Text classifier for document embeddings
Analysing COVID-19 Vaccine related user comments on Reddit Platform using Doc2Vec generated clusters and Topic Modelling Methods
Vectorization Techniques in Natural Language Processing Tutorial for Deep Learning Researchers
K-means+Doc2vec 用於痞客幫開放資料文章分類
POStURE - A Framework for Analyzing Political Speeches Evolution and Similarities with Learned Linguistic Representations
Representação de letras de músicas em vetores para análises semânticas e sintáticas.
D3-Network Visualization with WordEmbedding Space
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.
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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