Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset

no code implementations • 23 Jan 2024 • Ibrahim Said Ahmad, Lukman Jibril Aliyu, Abubakar Auwal Khalid, Saminu Muhammad Aliyu, Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Bala Mairiga Abduljalil, Bello Shehu Bello, Amina Imam Abubakar

Numerous successes have been achieved in combating the COVID-19 pandemic, initially using various precautionary measures like lockdowns, social distancing, and the use of face masks.

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

3 code implementations • 17 Feb 2023 • Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, Nedjma Ousidhoum, David Ifeoluwa Adelani, Seid Muhie Yimam, Ibrahim Sa'id Ahmad, Meriem Beloucif, Saif M. Mohammad, Sebastian Ruder, Oumaima Hourrane, Pavel Brazdil, Felermino Dário Mário António Ali, Davis David, Salomey Osei, Bello Shehu Bello, Falalu Ibrahim, Tajuddeen Gwadabe, Samuel Rutunda, Tadesse Belay, Wendimu Baye Messelle, Hailu Beshada Balcha, Sisay Adugna Chala, Hagos Tesfahun Gebremichael, Bernard Opoku, Steven Arthur

These include 75 languages with at least one million speakers each.

Sentiment Classification Twitter Sentiment Analysis

Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation

no code implementations • LREC 2022 • Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud, Shantipriya Parida, Shamsuddeen Hassan Muhammad, Ibrahim Sa'id Ahmad, Subhadarshi Panda, Ondřej Bojar, Bashir Shehu Galadanci, Bello Shehu Bello

The Hausa Visual Genome is the first dataset of its kind and can be used for Hausa-English machine translation, multi-modal research, and image description, among various other natural language processing and generation tasks.

Machine Translation Translation

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

2 code implementations • LREC 2022 • Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Said Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Salahudeen Abdullahi, Anuoluwapo Aremu, Alipio Jeorge, Pavel Brazdil

We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria (Hausa, Igbo, Nigerian-Pidgin, and Yor\`ub\'a ) consisting of around 30, 000 annotated tweets per language (and 14, 000 for Nigerian-Pidgin), including a significant fraction of code-mixed tweets.

Sentiment Analysis

Self-harm: detection and support on Twitter

no code implementations • 1 Apr 2021 • Muhammad Abubakar Alhassan, Isa Inuwa-Dutse, Bello Shehu Bello, Diane Pennington

Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participants.