Sentiment Analysis

Get insights using cutting-edge NLP models specialised in social media!

Cardiff University
Snap
Granada University
Cambridge University

About

TweetNLP is a website to enable users to use cutting-edge language technologies in social media, irrespective of their level of expertise.

TweetNLP contains both demos and tutorials with many examples to get you started. Best of all, everything is free!

Tasks supported:

Sentiment analysis, emotion recognition, hate speech detection, offensive language identification, emoji prediction, topic classification, named entity recognition

Our Team

This project has been developed through an international multi-disciplinary collaboration between academia and industry.

Jose Camacho-Collados

Contributor (Project lead)

Cardiff University

Francesco Barbieri

Contributor

Snap

Luis Espinosa-Anke

Contributor

Cardiff University & Amplyfi

Daniel Loureiro

Contributor

Cardiff University

Leonardo Neves

Contributor

Snap

Eugenio Martínez-Cámara

Contributor

Granada University

Asahi Ushio

Contributor

Cardiff University

Fangyu Liu

Contributor

Cambridge University

Dimosthenis Antypas

Contributor

Cardiff University

Kiamehr Rezaee

Web Developer

Cardiff University

Talayeh Riahi

Web Developer

Cardiff University

Gonzalo Medina

Web Developer

Granada University

Thomas Buhrmann

Collaborator/tester

Graphext

Joanne Boisson

Tester

Cardiff University

Contact

If you use our TweetNLP website, please let us know as we would like to hear from you! Any feedback or suggestions are welcome.

Location:

Abacws building, Senghennydd Rd, Cardiff CF24 4AX

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