doc2vec-word2vec

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch

Assessing Source Code Semantic Similarity with Unsupervised Learning

A Python implementation of a binary text classifier using Doc2Vec and SVM

Building, Training and Testing Doc2Vec and Word2Vec (Skip-Gram) Model Using Gensim Library for Recommending Arabic Text.

Representação de letras de músicas em vetores para análises semânticas e sintáticas.

Classification model for poetic genres and a recommendation system

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 ).

An NLP project that compares different approaches to document representation and classification. The techniques used include Topic-modeling, Tf-Idf, doc2vec, SVM, and CNN

Text classifier for document embeddings

Highlight Stephen Chow's famous movies using bullet-screen comments, document vector and neural network.

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.

Spam classification of sms data using doc2vec model

Homework and projects done in the course CSC591 Algorithms for Data-Guided Business Intelligence (ADBI)

Python projects related to the course- Algorithms for Data Guided Business Intelligence

Argument retrieval model for [Touché @ CLEF 2020] - 1st Shared Task on Argument Retrieval

산업안전보건법 법규시각화, 텍스트마이닝을 통한 법들간의 유사도 네트워크화

Python in use of pandas, numpy, sklearn, statsmodels, gensim, matplotlib, plotly, seaborn, bokeh

K-means+Doc2vec 用於痞客幫開放資料文章分類

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.

POStURE - A Framework for Analyzing Political Speeches Evolution and Similarities with Learned Linguistic Representations

This application detects duplicate product listings in a large datadump of product listings from Flipkart

D3-Network Visualization with WordEmbedding Space

A doc2vec demon

Opinion Mining and Sentiment Analysis

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.

Analysing COVID-19 Vaccine related user comments on Reddit Platform using Doc2Vec generated clusters and Topic Modelling Methods