SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

I used Catboost for training a model on the numerical features of every YouTube video (e.g., the number of views, comments, likes, etc.) along with sentiment analysis of the video descriptions and comments using the VADER sentiment analysis model.

IS783 - Social Media Analytics course tutorial notebooks

Jupyter Notebook based on analysis performed on data generated by whatsApp chats

Exploring #elxn43 Twitter data

A python notebook for processing and analysing any Whatsapp chat log.

SageMaker-ready jupyter notebook for Machine Learning social media digestion.

Exploratory Data Analysis on tweets @dell and their sentiment analysis, coded in Data Spell IDE using Jupyter Notebook.

A data-driven analysis of Facebook Live engagement using clustering techniques. Covers EDA, unsupervised learning, and machine learning models (KMeans) to uncover patterns in user activity and interactions. Includes Python notebooks and code for reproducible research.

This project details the creation of a multi-classification Recurent Neural Network (RNN) model using Tensorflow / Keras to predict Tweet emotions. More specifically, this notebook uses a bidirectional LSTM as a means to capture additional semantics often found in sequential (language) data. This project utilizes the Tweet Emotion Recognition wi…