AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages.
Shamsuddeen Hassan MuhammadIdris AbdulmuminAbinew Ali AyeleNedjma OusidhoumDavid Ifeoluwa AdelaniSeid Muhie YimamIbrahim Said AhmadMeriem BeloucifSaif MohammadSebastian RuderOumaima HourranePavel BrazdilFelermino Dário Mário António AliDavis DavidSalomey OseiBello Shehu BelloFalalu IbrahimTajuddeen GwadabeSamuel RutundaTadesse Destaw BelayWendimu Baye MesselleHailu Beshada BalchaSisay Adugna ChalaHagos Tesfahun GebremichaelBernard OpokuSteven ArthurPublished in: CoRR (2023)
Keyphrases
- sentiment analysis
- social media content
- public opinion
- micro blog
- opinion mining
- social media
- sentiment classification
- text classification
- sentence level
- cross lingual
- multi aspect
- online reviews
- social networks
- text mining
- user generated content
- user generated
- online social networks
- databases
- natural language processing
- target language
- social networking
- product reviews
- feature selection
- product features
- probabilistic model
- real world
- information diffusion
- micro blogging
- text summarization
- machine learning