Shamsuddeen Hassan Muhammad

Shamsuddeen Hassan Muhammad

PhD Candidate in Computer Science

University of Porto, Portugal

Hello!

I am a PhD candidate at the MAPi joint Doctoral Program in Computer Science, offered by the University of Minho, the University of Aveiro, and the University of Porto.I am also an NLP researcher at LIAAD-INESTEC and Masakhane.

I received a Master’s degree from the University of Manchester, UK, and a Bachelor’s Degree from Bayero University, Kano, Nigeria. I am also a faculty member at the Faculty of Computer Science and Information Technology, Bayero University, Kano, Nigeria. I spend my time reading books and playing table tennis.

I also blog here.

Interests

  • Natural Language Processing
  • Machine Learning
  • Sentiment Analysis
  • Low-resource language

Education

  • PhD in Computer Science, (2018 - ongoing)

    University of Porto , Portugal

  • MSc in Computer Science, 2013

    University of Manchester , UK

  • BSc in Computer Science, 2008

    Bayero University ,Kano, Nigeria

Recent Publications

#Quickly discover relevant content by filtering publications.

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

Sentiment analysis is one of the most widely studied applications in NLP, but most work focuses on languages with large amounts of data. 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 Yorùbá—consisting of around 30,000 annotated tweets per language (and 14,000 for Nigerian-Pidgin), including a significant fraction of code-mixed tweets.
PDF

MasakhaNER: Named Entity Recognition for African Languages

We take a step towards addressing the under­ representation of the African continent in NLP research by creating the first large publicly available high­quality dataset for named entity recognition (NER) in ten African languages, bringing together a variety of stakeholders.
PDF

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, web-mined text datasets covering hundreds of languages. We manually audit the quality of 205 language-specific corpora released with five major public datasets (CCAligned, ParaCrawl, WikiMatrix, OSCAR, mC4).
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A survey on machine learning techniques in movie revenue prediction

With the growing number of literature on movie revenue prediction using machine learning techniques in recent years, a systemic review will help in strengthening the understanding of this research domain. Therefore, this article is aimed at determining the sources of data, the techniques, the features, and the evaluation metrics used in movie revenue prediction.
PDF

Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon

Sentiment lexicon plays a vital role in lexicon-based sentiment analysis. The lexicon-based method is often preferred because it leads to more explainable answers in comparison with many machine learning-based methods. But, semantic orientation of a word depends on its domain.
PDF
See all publications

Academic Positions

 
 
 
 
 

Doctoral Research Fellow

Faculty of Science, University of Porto

Aug 2020 – Present Porto, Portugal
 
 
 
 
 

Africa low-resource NLP Researcher

Masakhane

Feb 2020 – Present
 
 
 
 
 

Researcher

INESC TEC - Institute for Systems and Computer Engineering, Technology and Science

May 2019 – Present Porto, Portugal
 
 
 
 
 

Lecturer

Bayero University , Kano

Apr 2012 – Present Kano, Nigeria

Responsibilities include:

  • Teaching
  • Research
 
 
 
 
 

Lecturer

Saadatu Rimi College of Education

Oct 2010 – Apr 2012 Kano States

Responsibilities include:

  • Teaching
  • Research

Contact