PROJECTS
Evaluation of A Factual Claim Classifier with And Without Using Entities as Features.
Master’s Thesis for M.S. at UT Arlington (July 2017).
Link to Thesis.
Python, Machine Learning
Named entity extraction on debate transcripts using Illinois NLP
As a feature for classification tasks, we extreact named entities from text documents and create a vector using various entity types for each sentence.
Python, Illinois NLP
Dimensionality reduction using LDA and PCA on classification tasks
Classification tasks are evaluated before and after dimentionalty reduction. Classification tasks used are KNN, SVM and Naive Bayes classifier.
Machine Learning, Python, Matlab
Minimizing Disk, I/O in Dynamic ALSD
Using distributed framework for finding the substructure that can compress the graph best in a very large directed labeled graph.
map/reduce , Java
Classification and Clustering Algorithm on ATT & Iris.
KNN Classification Algorithm, SVM - Support vector machines using Weka 3.6, SVD - Singular Value Decomposition, K Means Clustering Algorithm, DBSCAN Clustering Algorithm..
Data Mining, Python
Web Data Management
Link to project.
Node.js, jQuery, AJAX, d3js, CSS and Google API
Automatic Text Summarizer
For summarizing text using extraction techniques and replacing certain words with synonyms.
Link to paper.
Python, Graph-ranking algorithm
Google Firebase Application
This project was to demostrate the basic functionality of Firebase. It utilizes the realtime database. Runs on NodeJS, HTML/CSS and JavaScripted web pages that were hosted on firebase. The project was secured by Authentication methods of Firebase as well as 'SignInGoogle' and used NoSQL database to store the user data.
Link to project.
Google Firebase and JavaScript
Learning Cafe
Online Academic Learning and Resources: Constructed a portal to provide academic details, reference information, and forum for discussion for students.
HTML, CSS, PHP and JavaScript
