Twitter Sentiment Visualisation
🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends
About
This project streams live social media data and applies a custom sentiment analysis algorithm to identify trends, which are then displayed through dynamic real-time charts. It aims to help users understand the relationship between sentiment and various factors such as geographical location and demographics. Potential applications include analyzing marketing campaign effectiveness, comparing products, and gauging public opinion.
Open Source Health
- Stars
- 237
- Forks
- 67
- License
- Not stated
- Last commit
- 3 years ago
Resources & Links
Related Categories
Vendor
Alicia Sykes
Turning caffeine into code
Quick Links
Open Source
Stars
237
Forks
67
Contributors
0
Open Issues
0
More by Alicia Sykes
Related Products
Multimodal-Infomax
This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.
Top category match
Linusrants
Dataset of Linus Torvalds' rants classified by negativity using sentiment analysis
Top category match
PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Top category match
Sentiment Discovery
Unsupervised Language Modeling at scale for robust sentiment classification
Top category match
LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
Top category match