This work was part of the Social Media Mining (ILS-Z639) course, instructed by Dr. Allen Riddell for Fall 2020 at Indiana University, Bloomington.
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Updated
Dec 16, 2020 - Python
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 consists of various projects involving scripts for building data pipelines.
This project includes Twitter Social Media Analytics, Facebook Graph Analysis and News API Data Analysis. See the final report for full understanding.
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
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.
Extracting meaningful insights from Social media database using MSSQL
Short analysis of LSE departments on Twitter using Python.
Repo for the social media analysis
딥러닝 기반 환경이슈 감성분류기 개발 : 기후변화 중심으로
Data surrounding an Instagram page’s engagement during the month of July was imported and manipulated to plot a colour-encoded matrix that revealed general patterns in their dataset. The final heatmap displays data from Instagram that identifies the best time of the day and day of the week to run social media marketing campaigns.
Social Media Analytics About Formula E Topic in Twitter using Twitter API
Big Data Analytics
Social media Survey(english) french version coming soon
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.
Social Media Analysis using multivariate analysis in a Rutgers Business School Classroom
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.
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