WHAT IS TEXT ANNOTATION ?
Text annotation is instrumental in helping machine learning models comprehend text data effectively. Typical workflows that leverage text annotation include sentiment and intent analysis, part-of-speech tagging, and entity recognition and classification. Throughout the text annotation process, data is categorized into phrases, sentences, and keywords as per project guidelines. Annotated datasets train machines to communicate adeptly in human natural language.Text annotation finds application in various domains, including enhancing search engine performance, building chatbots, designing question answering systems, aiding in reading comprehension for students, facilitating language translation, and more. Additionally, text annotation can be integrated with image annotation to train multimodal machine learning models.
