There are numerous areas such as health care, supply chain, news, where a large amount of unstructured free-text data is generated. This data often contains rich information that can be used for research purpose. But the unstructured nature of data causes difficulty to process and analyze the data easily. Here comes the automatic text annotation tools that can transform the unstructured texts into structured annotations.
We completely rely on our mind to read and process the text that we see, and we find our own meanings out of it. But, how do machines find the meaning of the intended message? Making machines read and understand the intended message and emotions is more important so that the actual outcomes are accurate. This accuracy in communicating with machines is obtained by the text annotation done with the help of right text-based tools.
Text-based Tools Working in Various Industries
There are several text-based solutions available that are implemented across industries and businesses. The reason here is simple, they are cost-saving and revenue-generating. As machines are becoming more and more capable of communicating in human languages, the training to use high-quality text data has become important. Regardless of the case, the quality of training needs to be accurate, and it must start with proper text annotation.
Training the AI Model
To train the AI models, algorithms make use of a large amount of annotated data. A metadata tag is utilized to markup the characteristics of the dataset when the annotation process takes place. Text annotation includes highlights of keywords, phrases, and sentences, it can also have some tagging sentiments, and it can be included in some applications. These sentiments can be ‘happy’ or ‘angry’. The machines are taught how to recognize these sentiments and the intent behind words.
It’s All About Accuracy
The accuracy of this text is something that matters the most. If the annotation will be poor in quality, machines are sure to come up with grammatical and clarity issues.
For instance, if you ask your bank’s chatbot- “How do I block my credit card?” And you get the response that “You do not own a credit card”. It is obvious that the machine has misunderstood your question, and this needs re-training, and text annotation needs to be done with more accuracy.
Once the machine is trained with accurately annotated data, it will start to interact in natural language more and more effectively. This will enable machines to complete complex tasks that otherwise would be performed by humans.
Once these technology solutions are properly implemented and utilized in any business, it enables businesses to focus on more strategic endeavors.
Uses
From machine translators to voice assistance and eCommerce experience improvements to smart chatbots, the applications of natural language processing tools are countless. Across all major industries, these solutions are very helpful and they have a great ability to streamline transactions, it also helps in improving customer experiences.
How UBIAI Can Help
UBIAI offers the powerful and easy-to-use annotation platform to train and deploy your custom NLP model without any code. The NLP annotation tools help users extract actionable insights from unstructured documents. You just need to upload documents in CSV, PDF, HTML, TXT, DOCX, PNG, JPG or ZIP format, start annotating, and create advanced NLP model quickly.
Check out the website Ubiai.tools to know more about the tool and its features.
