Sayali Nagwekar's repositories
hatespeechdata
Catalog of abusive language data (PLoS 2020)
Masters-Thesis
the data science and quantitative analysis for the Masters Thesis
Graduate-RA
Analysing social media data to detect specific patterns, trends and words
NLP
Some of the code from past NLP projects
hurtlex
A multilingual lexicon of words to hurt.
ROS-Examples
Regression and other stories R examples
tweepy
Twitter for Python!
corona_tscs
This is the data repository of the CoronaNet project on government responses to the COVID-19 pandemic and the data/code repository for the paper "A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts".
gpf_pythonusergroup
gpflow example notebook for Columbia python user group
meetings
A repository of notes and tidbits about our Monday Meetings.
face_recognition
The world's simplest facial recognition api for Python and the command line
intro-to-data
A two-hour introduction to data for Python *or* R.
Using-Data-Science-for-Public-Policy
Projects for this class will be uploaded here. The Data Science and Public Policy class is taught by Dr. Tamar Mitts at Columbia University's School of International and Public Affairs
Analysis_Times_of_India_Headlines
NER and fuzzy matching is used to analyze headlines from the Times of India to find out how these headlines depict minorities
analysing_twitter
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
Twitter-Hate-Speech-Detection
A repository
UN_Climate_Policy
This project will aim to look at how the transcripts of the United Nations General Assembly have changed over the years. It will particularly look at how their approach to climate change policy has changed. This will be done through tf-idf method of NLP and will find frequently used words relating to the above topics. Climate change is the most important issue of our generation and any analysis done towards is it crucial to policymaking.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera