How does Text Annotation work at AIW?
AIW is improving the efficiency and productivity of various use cases of text annotated data across domains. Our team of experts is equipped and trained to handle text datasets which are usually large
AIW is improving the efficiency and productivity of various use cases of text annotated data across domains. Our team of experts is equipped and trained to handle text datasets which are usually large
Named entity recognition (NER), Keyphrase Tagging, Part-of-Speech (POS) Tagging
End-to-end entity linking, Entity disambiguation
Discourse annotation, POS (Part-of-speech) Tagging, Phonetic Annotation
Document classification, Product Categorization, Sentiment Annotation
With our time-tested processes you can be assured of accurate workflow planning and execution along with thorough engagement at every step of the journey.
We gather project requirements from the client and conduct a feasibility analysis
We customize the annotation workflow and conduct a Time & Motion Study, prepare a Rule Book and submit a Proposal
Datasets are annotated by expert human annotators using the defined “Rulebook”
Post quality checks, the data is delivered to the client, the product team from the client’s end gets involved in the feedback process and updating of SOP if needed
Undertake a feasibility workshop with us and help us understand your project
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