What is the difference between text annotation and text labelling


Annotation and labeling are two interchangeable words used in AI and machine learning. Both are used to create data sets for natural language processing based voice or language recognition system. The texts are either annotated or labeled with the purpose to make the keywords or important words comprehensible to machines helping them to respond in the same way.


Though, there is no big difference between both of them in annotation the entire words are only annotated to make it important, while in text labeling the metadata is also added to make it more descriptive to machine for natural language processing.
Text Labeling vs Text Annotation
Text labeling is also done for sentiment analysis and various other purposes mainly in machine learning and AI. Labeling is more complex process compare to annotation. Text labeling can be done for NLP algorithms while annotation is for visual based perception models. 
Text annotation helps to visualize the important texts or words through computer vision while text labeling, the texts are highlighted and metadata is also added in the each word that are important to integrate into the language processing.
However, both requires expertize and done with accuracy to make sure the important words can be used in defining the right meaning while developing an AI or NLP based AI model. A special kind of tool or software is used to label or annotate the texts with high level of accuracy.
And there are many companies for text annotation and labeling on your needs, making the natural language processing more easy and productive in AI-based speech recognition system. But finding the right experts as per your needs become difficult when you need such annotated or labeled data for creating the right model that can perform with highest accuracy. 

Anolytics, is providing the text annotation and text labeling service for NLP and voice recognition in the machine learning or deep learning. It is working with highly experienced annotators to identify such texts and label or annotate them as per the customize needs. The quality and accuracy is done to make sure each important text is annotated with metadata to make sure it can produce the right mix of labeling and annotation for different needs at best pricing in the market.
Location: United States

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