Example projects built with the Hume AI APIs

PilarEaseDJO is a Django-based platform for emotion management and sentiment analysis, featuring user authentication, status posting, emotion filtering, machine learning integration, chatbot interaction, and administrative tools.

A Django project using NLP to analyze and visualize the emotional of HBO’s Succession characters.

1) N-grams 2) Emotion and sentiment analysis

Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection

Perform Sentiment Analysis on App's Review Data

This project analyzes and compares the Wikipedia articles of Xi Jinping and Vladimir Putin over 20 years, uncovering differences in portrayal, sentiment, and biases to measure public perception of each leader.

Application that analyzes user input and detects underlying emotions.

Exploring Expressed Emotions for Neural News Recommendation

🎶 A mood-based melody generator

Code for manuscript "Disentangling Hate Across Target Identities"

EmoTunes is an emotion-based music recommendation system that uses real-time webcam detection to identify user emotions. It plays corresponding YouTube songs from categorized CSV files (e.g., Happy, Sad) and allows users to manually select their emotions for a tailored experience.

Data analysis project involving relationships between loan data vs emotional data of users

Sentiment Analysis on “HelloTalk” App Review Data with NRC Emotion Lexicon and GoEmotions Dataset

The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)

Can ChatGPT really understand the opinions, sentiments, and emotions contained in the text? We provide a preliminary evaluation.

Emotion Analysis from Video: A Multi-Model Machine Learning Approach

The Path of Abai Text Analysis project explores translations of The Path of Abai by Mukhtar Auezov in Russian, English, and Kazakh. It analyzes linguistic patterns, sentiment, emotions, and vocabulary richness across these translations.

This notebook helps to plot emotions of a given article/text excerpt on the basis of emotional scores .It uses a language model to detect emotions and scores them according to their contextual intensity in the provided article.