NEEVO
Emotion and intention evaluation Classification and accent recognition
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I have a solid background in linguistics and hands-on experience in data annotation and fact-checking. Over the past year, I have worked on a range of annotation projects involving text, audio, and multilingual datasets. My work has included intent classification, entity recognition, syntactic parsing, sentiment analysis, and discourse-level labeling. I have used a variety of tools including [e.g., Labelbox, Prodigy, or custom platforms], and I am comfortable adapting to new systems and guidelines quickly. In parallel, my training in linguistics, especially in (syntax/semantics/pragmatics/phonetics, etc.) has equipped me with the analytical precision needed to handle nuanced linguistic phenomena. I have also collaborated on fact-checking assignments, cross-referencing information from verified sources to ensure data integrity, particularly in politically and socially sensitive content. Beyond technical skills, I bring a deep attention to detail, a commitment to ethical AI, and the ability to meet tight deadlines while maintaining accuracy. Whether working independently or as part of a distributed team, I strive to contribute with professionalism and curiosity.
Emotion and intention evaluation Classification and accent recognition
Performed several tasks for this platform, in diverse fields.
DU MEEF, English Language Teaching
CAPES, English Second Language Teaching
English Lecturer
English Lecturer