Generating shorter a version of the input text, preserving all the necessary content.
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Updated
Nov 11, 2021 - Python
Generating shorter a version of the input text, preserving all the necessary content.
Building a recommendation system for Google Play games using content-based and collaborative filtering models
Different Analytics about sarcasm on posts from Reddit using NLP techniques
Cythonized implementation of Topic modeling.
Provides support for making predictions of binary outcomes based on natural language corpora. Formally, creates predictive models using Logistic Regression with Elastic Net Regularization on topic models derived from Latent Dirichlet Allocation.
Implementing inference methods for Latent Dirichlet Allocation model. This repo is for study purposes.
Feature Extraction using LDA on Indonesian Documents
We created a tool which provides interesting facts that are highly personalized to the subjects that students write about on their papers. These facts will motivate students to do more in-depth research about topics that would complement their essays.
LDA Gibbs Sampling using EHR Data
Topic Modeling of a University Listserv
This, along with the source code example will give you an idea of how LDA works and how we and leverage from the Un-supervised Machine Learning.
Implementation of Latent Dirichlet Allocation using a Deep Learning Model
weighted topic modeling
Web application for visual parameter space analysis of topic models utilizing word embeddigs.
Storytelling Twitter with Part-of-Speech Latent Dirichlet Allocation (On Development)
Twitter bot that posts tweets from a database and uses latent dirichlet allocation to classify and interact with tweets.
Tool for training LDA (latent dirichlet allocation)-based topic models, implemented in Python using scikit-learn.
Code for running robust and repeatable unsupervised topic modeling experiments
Multidimensional Scaling using Cliques (MDS-Clique)
Using topic modelling to classify texts based on bird taxonomic families
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