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Twitter Sentiment Analysis with Orange + Vader + PowerBi (Part 1)

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Natural Language Processing (NLP) is at the core of research in data science these days and one of the most common applications of NLP is sentiment analysis.
WRITTEN BY AKINSANDE OLALEKAN

AI Class Monitor

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With a teacher-to-pupil ratio of 1:80 in most Nigerian schools, the quality of pupils’ attention and learning engagement continues to be on a nosedive trajectory with a negative impact on pupils’ motivation to learn, increasing drop-out rate, and the socio-economic risks of a poorly educated populace.

WRITTEN BY ADEKANMBI et. al

Semantic Enrichment of Nigerian Pidgin English for Contextual Sentiment Classification

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Nigerian English adaptation, Pidgin, has evolved over the years through multilanguage code switching, code mixing and linguistic adaptation. While Pidgin preserves many of the words in the normal English language corpus, both in spelling and pronunciation, the fundamental meaning of these words have changed
significantly.

WRITTEN BY OYEWUSI et. al

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MNER

Conversations on social media are known to be casual, informal and open across several topics including medical related topics. Even though social media are good sources of information, its informal nature and the use of pseudonyms have made information extraction difficult for medical related applications.

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Na Lie

NaLie is a solution that provides real time validation system for text messages. It uses CrowdML and NLP for Detection and verification of Text-based Financial Fraud and Fake messages.

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AI Invasion across 70+ cities around Nigeria

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