Natural Language Processing (NLP) and Annotation Services





What is the meaning of NLP?
AI Algorithm & machine learning techniques can understand the human language with the help of Natural Language Processing NLP. The process extracts, annotate, and labels helpful information from unscheduled & unstructured text that machines can easily understand and interpret. It enables a better understanding of the purpose, key points, and the relevant information from natural language data.
What are the uses of NLP annotation?


NLP is used across entire value chain: smart assistants, search results, language translation, online reviews text analysis, product review and market research

For brands and products, NLP is essential in analyzing customers & understanding what they are saying
Text annotation and labeling applications across industries
We carefully analyze your brands and products requirements to design and understand what your customers are saying
Our beliefs behind each annotations

Data Security & Privacy

Fast Delivery with High Accuracy

Cost Effective Pricing

Scalable Solution by Experts
- We are EU-GDPR compliant and SOC 2 Type 1 organization. Data security & privacy is non-negotiable for us
- Our scalable annotation solutions are driven by specialists with years of experience in AI & ML
- We deliver fast and achieve 95%+ accuracy in our annotations
- We aim to achieve highest client satisfaction while providing low cost annotation and fostering longterm relations
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Training intelligent virtual assistants (IVA) follows the same procedure as training a machine learning model. You begin by first defining the use case of your virtual assistant. That is followed by creating a dataset for all use case instances with numerous examples for each sample. Then train the model to understand and respond to each instance, after which you can validate the IVA’s accuracy.
NLP is a subfield of AI that strives to build machines capable of understanding human language. NLP seeks to make machines that can understand and respond to voice or text data. The response should be in the form of text or synthetic speech generated by the machines. In essence, NLP seeks to mimic how humans talk and respond to each other.