Deep learning techniques for sentiment analysis in code-switched Hausa-English tweets
Social media serve as a crucial platform for expressing opinions and perspectives. Its texts often characterised by code-switching or mixed languages in multilingual setting. This results in a diverse and complex linguistic context, which can negatively affect the accuracy of sentiment analysis for...
Saved in:
| Main Authors: | Yusuf Aliyu, Aliza Sarlan, Kamaluddeen Usman Danyaro, Abdullahi Sani abd Rahman, Aminu Aminu Muazu, Mustapha Yusuf Abubakar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | International Journal of Information Management Data Insights |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096825000126 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
INTER-RELIGIOUS RELATIONS AMONG THE YORUBA AND HAUSA IN A SELECTED COMMUNITIES IN SOUTH-WESTERN NIGERIA
by: ALFRED ADEKUNLE BAMGBOSE
Published: (2025-06-01) -
SCIPOG: Seeding and constraint support in IPOG strategy for combinatorial t-way testing to generate optimum test cases
by: Aminu Aminu Muazu, et al.
Published: (2023-01-01) -
Comparison of RNN and LSTM Classifiers for Sentiment Analysis of Airline Tweets
by: Rogaia Yousif Ahmed, et al.
Published: (2025-06-01) -
Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA
by: Manar Alassaf, et al.
Published: (2022-06-01) -
A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing
by: Md. Alamin Talukder, et al.
Published: (2025-07-01)