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Dec 16, 2017 - OpenEdge ABL
social-media-analysis
Here are 131 public repositories matching this topic...
Social Media Analysis for Situation Awareness during Crises (SMASAC) Tutorial
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Apr 22, 2018 - Jupyter Notebook
A script that finds all the bad people who don't follow you back
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Apr 27, 2018 - Python
Webapp designed to analyze social media posts!
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May 1, 2018 - JavaScript
How to analyse social media data archives!
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Aug 27, 2018 - Jupyter Notebook
Real-time social media analytics
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Mar 5, 2019 - Python
R scripts and example CSVs from my time as an intern and research assistant for the INSPIRE Project at the START Consortium in College Park, MD
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Aug 25, 2019 - R
Analysis of the Oct 2019 p-score dataset
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Dec 9, 2019
This repository contains the source code of paper: "Semantic-based End-to-End Learning for Typhoon Intensity Prediction"
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Jan 8, 2020 - Jupyter Notebook
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
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Mar 24, 2020 - Python
🍊 Find out how many bots follow any given Twitter acount
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Apr 14, 2020 - Python
Implementation of Hadoop and Spark
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May 11, 2020 - Java
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May 25, 2020 - Python
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
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May 27, 2020 - Jupyter Notebook
This is a case study of Reddit based on Big Data Analytics. To analyze the products review based on community site reddit to discover trends, sentiments, new opportunities and potential crises of such products to guide community users in decision-making.
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Jun 14, 2020 - Jupyter Notebook
To analyze the products review based on community site reddit to discover trends, sentiments, new opportunities and potential crises of such products to guide community users in decision-making.
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Jun 14, 2020 - Jupyter Notebook
A repo of my marketing analytics projects that cover digital attribution models and social media analytics.
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Jul 5, 2020 - R
Do a brand perception of a Twitter trend by extracting Twitter mentions for the brand and conduct text mining (Correlation, Frequency, Topic Modelling, Sentiment Analysis) on it.
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Aug 31, 2020 - HTML
A multiple linear model predicting lifetime engaged users on a cosmetic company's Facebook page. Data extracted from post metrics from over 500 posts in 2014. Achieved an accuracy of nearly 80%!
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Sep 22, 2020 - Jupyter Notebook
A support vector regression model predicting lifetime engaged users on a cosmetic company's Facebook page. Data extracted from post metrics from over 500 posts in 2014. Achieved an accuracy of over 80%!
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Sep 23, 2020 - Jupyter Notebook
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