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

Doc2Vec Project

K-means+Doc2vec 用於痞客幫開放資料文章分類

a case-study within the "sirius.AI" program

A doc2vec demon

Opinion Mining and Sentiment Analysis

D3-Network Visualization with WordEmbedding Space

Repo with basic start on Recurrent Neural Networks, Word2Vec, Doc2Vec, TFIDF vectors and NLP basics

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

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.

Spam classification of sms data using doc2vec model

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

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

Text classifier for document embeddings

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

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.