Text annotation is a subset of data annotation where the annotation process focuses only on text data such as PDFs, DOCs, ODTs etc. Supervised ML models need data labeling to work effectively. The success of speech-related applications depends on correctly annotated text data. They help in analyzing text data, accelerating customer responses via chatbots, recognizing human emotions thanks to sentiment analysis, etc. ML models and their subset Natural Language Processing ( NLP) offer crucial advantages to companies in various industries.
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