Infosearch provides the best text annotation services for AI and NLP. Outsource text annotation services to Infosearch to train your machine learning models.
What Is Text Annotation?
Text annotation is a type of annotation method meant for
tagging text data for better understanding and classification. It involves the
naming of unique items in text as well as categorizing the choices of text into
usable elements like entities, keywords, or sentiments, relations among others
for use in machine learning AI and NLP.
Common types of text annotation include:
1. Entity Recognition (e.g. People, Place, Time).
2. Classification (Sentiment Analysis for example in which
texts are classified as either positive, negative or neutral).
3. Intent Classification (for example, for determining the
type of the user’s request).
4. Morphosyntactic tagging (For example POS tagging).
Why is text annotation necessary?
1. Allows Machine Learning Models
Annotated text is used to train AI and natural language
processing systems and the algorithms used to determine patterns to recognize
and interpret language and to make accurate predictions.
2. Improves Search and Discovery
Well annotated text enhances the work of the search engine,
a recommendation system, and/or a digital assistant by increasing accuracy in
the results.
3. Improves on Customer Relations
This annotated data helps the chatbots and virtual
assistants that support users to provide a better answer to the queries posed.
4. Supports Advanced Analytics
Text annotation is useful in the process of gaining insights
from large volumes of data to inform decision making in organisations.
5. Essential for Automation
This is used to automate some activities like generating
summaries of documents, translating documents, and filtering content.
6. Crucial for Customization
Firms are relied on marked data in creating custom AI models
that can be applied to industries, languages or applications.
Uses of Text Annotation
Healthcare: Markup of documents to aid doctors and for
assessment by healthcare scientists.
E-commerce: Improving product recommendation and customer
reviews analysis.
Finance: Evaluating changes in figures available in
financial statements and the general mood on stock markets.
Social Media Monitoring: Measuring the sentiment of the
brand or the general feel of the public.
