Highlight Stephen Chow's famous movies using bullet-screen comments, document vector and neural network.
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Updated
Jan 19, 2017 - JavaScript
Highlight Stephen Chow's famous movies using bullet-screen comments, document vector and neural network.
Text classifier for document embeddings
semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.
A Python implementation of a binary text classifier using Doc2Vec and SVM
Representação de letras de músicas em vetores para análises semânticas e sintáticas.
Spam classification of sms data using doc2vec model
Assessing Source Code Semantic Similarity with Unsupervised Learning
It uses extensive NLP and ML techniques at its backend for answering descriptive type queries ( currently, the model has been trained only for Data science and Machine Learning Domain ).
Doc2Vec Project
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.
Building, Training and Testing Doc2Vec and Word2Vec (Skip-Gram) Model Using Gensim Library for Recommending Arabic Text.
K-means+Doc2vec 用於痞客幫開放資料文章分類
Homework and projects done in the course CSC591 Algorithms for Data-Guided Business Intelligence (ADBI)
This application detects duplicate product listings in a large datadump of product listings from Flipkart
Python projects related to the course- Algorithms for Data Guided Business Intelligence
Python in use of pandas, numpy, sklearn, statsmodels, gensim, matplotlib, plotly, seaborn, bokeh
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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