This work was part of the Social Media Mining (ILS-Z639) course, instructed by Dr. Allen Riddell for Fall 2020 at Indiana University, Bloomington.

A Node Js Package for sentiment investor

A collection of my learning documented and some projects based on the domain Social Media Analytics.

This repository is for the analysis presented in poster format at the 2020 ASA-CSSA-SSSA Virtual Meeting around social media engagement habits of farmers.

This repository consists of various projects involving scripts for building data pipelines.

⚡ Social Media Marketing

This project includes Twitter Social Media Analytics, Facebook Graph Analysis and News API Data Analysis. See the final report for full understanding.

Scripts and files for https://geo.rocks/instagreens/

Extracting meaningful insights from Social media database using MSSQL

A social media analytical tool that provides the useful insights and meaningful stats that helps in the enhancing your social media presence.

Social media is now overwhelmingly popular, most humans spend hours a day on various platforms. This repo provides a large techstack to profit off social media, providing content creating, content posting, analytics, and optimization.

Social media fake accounts and spam accounts have become a huge problem these days. Some had spammed me twice on Instagram. Here I have used various Machine learning techniques to spot the fake/spam accounts

Text Processing and Representation Analysis

Repo for the social media analysis

A Windows desktop application to help you find the best times to post on Mastodon

Image hashing (also called perceptual hashing) is the process of constructing a hash value based on the visual contents of an image.

This Repository contains all the C# .Net Related Projects. Some of them were at there deployment stages.

Social Network Analysis

This project is executed with various SQL tasks for Instagram. I found the five oldest users, identified inactive users, declared a contest winner, researched popular hashtags, and suggested the best day for ad campaigns. For investors, I calculated user engagement metrics and flagged potential bot accounts.

This project is created to analyze Instagram Users, Hastag, Likes of photos using SQL