Text Annotation Services
We annotate and add the right metadata to each sentence of your texts to make them comprehensible to AI-driven machines using NLP. The important keywords in a text can be understood by AI-driven machines only through text annotation services.
We have experts who can develop high-quality training data for NLP-based machine learning (ML) models.
Text Annotation for NLP
We carry out text annotation for NLP by identifying entities, parts of speech, categorizing sentences, and more. This is an essential step in the development of an effective ML model. We have experts for aligning documents with appropriate data annotation and labeling techniques as per text annotation datasets and other requirements provided by the clients.
Our Text Annotation Process
We allow you to automatically or manually categorize text for NLP models. ML models can identify topics or themes as per text categorization process in a vast array of documents.
This process is used quite often in web search engines, document management systems, and other NLP applications.
ML and NLP models rely to a great extent on semantic annotation for understanding the meaning and context of languages. It can be used for improving the accuracy of ML algorithms that employ NLP.
We specialize in semantic tags in text annotation datasets to assist ML models make more accurate predictions by allowing them to better understand languages, dialects, and diction.
This invovles grouping words by annotating and labeling them into meaningful chunks. This process is used to preprocess natural language data for ML models which include identifying phrases that contain multiple words like nouns, verbs, and idioms.
Using this technique, ML models can get a better understanding of the context and meaning of a sentence with improved accuracy.
It is a process that links entities in a text to a specific item in a knowledge base. It is accomplished through text annotation tools which enrich the model’s understanding of the text and improve the accuracy of text classification models.
Using the knowledge of the entities referenced in the text, the NLP model can better understand the sentiment of a sentence.
Text Annotation Use Cases
Text annotation is used across industries to help NLP models identify important words in a text and classify similar documents.
NLP permits computers and robots to interpret and comprehend natural language. It enables analysis of text and speech for processing commands and producing responses.
It is possible to detect traffic signs across highways and lanes using computer vision algorithms based on text annotation.
Healthcare operations and patient outcomes are enhanced through addition of text annotations to databases on health.
Text annotation is used for automating complicated and redundant processes, limiting paperwork, minimizing the time taken for disbursing loans, predicting repayability, and a lot more.
Text annotation can be used for enhancing shopping experience by annotating customer reviews and comments.
It can be used to convert acronyms, abbreviations, and emoticons found in consumer stories on social media platforms into structured data.
Branding & Promotion
It can be used for creating slogans and marketing copies when used in combination with language modeling and generation.
It can be used by insurance companies to minimize risk and enhance efficiency by extracting details from application forms and adjuster notes.
Text annotation is useful in finding cancer genes, proteins in large pharmaceutical libraries by identifying proteins, medications, genes, chemicals, and diseases.
Outsource To Us
Our text annotation services help you save time, reduce costs, and improve efficiency. We can accurately and consistently label the data as per the specific annotation guidelines. Our text annotation services are tailored to fit your machine-learning models for language understanding, sentiment analysis, and other NLP applications.
Quality on a Promise
Our team is committed to delivering high-quality Text Annotations. Our training data is therefore tailored for the applications of our clients.
Uncompromised Data Security
Data security and confidentiality are of utmost importance to us. At all points in the annotation process, our team ensures that no data breaches occur.
Scalable with Quick Turnaround Time
We at Cogito claim to have the necessary resources and infrastructure to provide Text Annotation services on any scale while promising quality and timeliness.
Besides offering flexible pricing, we can tailor our services to suit your budget and training data requirements with our pay-as-you-go pricing model.
Get Us On Board
Let us contribute the best of our text annotation expertise to your computer vision-based models and AI algorithms. Bringing together over 1500 data experts, Cogito boasts a wealth of industry exposure to help you develop successful NLP models.