Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes

2016 manuscript for AEJMC meeting

This repository uses text-as-data methods alongside traditional primary source reading to analyze early American state constitutions. The R scripts create a function to scrape and clean the constitutional text, run sentiment analysis, calculate tf-idf, and perform LDA. This is a work-in-progress.

Developed an Automated Twitter Response Tool for a focus in airline complaints using Kafka Streaming, LSTM, LDA, NRC Lexicon, and made analysis reports by using dataprep.ai

This repository belongs to the article entitled 'A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines' published in applied energy: https://doi.org/10.1016/j.apenergy.2018.06.082

NLP Topic Modeling Techniques (LDA, LSA & BERTopic)

Exploration of Amazon Reviews from the Electronics category through Topic Modeling using Latent Dirichlet Allocation.

LDA Text Miner in Python

Seasonality and text analysis of Boston Airbnb data

miscellaneous helper and auxiliary functions for text processing and text mining

Exploratory data analysis of The Simpsons episodes and text analysis of the scripts 📺 🍩

Pivot is a web app where we use dynamic bar graphs for real time data using data stored in AWS' Athena and implements Latent Dirichlet Allocation for topic modeling of user comments

Information retrieval system for summarizing tweets topics using LDA

Discovering latent features in restaurant reviews using Topic Modeling

The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.

ds7290 (data visualization using web technologies) final project

The project involves performing sentiment analysis on the reviews referring to the most talked about features of the phone.The reviews are scraped using python from amazon.Topic modelling is used to obtain the four most talked about features of the phone. Sentiment Analysis is performed on the reviews related to these features.Each of the review…