AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages.
Shamsuddeen MuhammadIdris AbdulmuminAbinew Ali AyeleNedjma OusidhoumDavid Ifeoluwa AdelaniSeid Muhie YimamIbrahim Said AhmadMeriem BeloucifSaif M. MohammadSebastian RuderOumaima HourraneAlípio JorgePavel BrazdilFelermino Dário Mário António AliDavis DavidSalomey OseiBello Shehu BelloFalalu Ibrahim LawanTajuddeen GwadabeSamuel RutundaTadesse Destaw BelayWendimu Baye MesselleHailu Beshada BalchaSisay Adugna ChalaHagos Tesfahun GebremichaelBernard OpokuStephen ArthurPublished in: EMNLP (2023)
Keyphrases
- sentiment analysis
- social media content
- public opinion
- micro blog
- opinion mining
- sentiment classification
- social media
- sentence level
- text classification
- natural language processing
- multi aspect
- online social networks
- user generated
- text mining
- product reviews
- product features
- text summarization
- databases
- cross lingual
- neural network
- sentiment lexicon
- social networks
- positive or negative
- social networking
- target language
- expert systems
- collective classification
- online reviews
- machine translation
- information diffusion
- sentiment words
- user generated content