Labelling and annotation are both used in machine learning and AI. They are used to form data sets for NLP-based (natural language processing) language or voice recognition technology. The texts are mostly labelled or annotated to make the useful words and keywords understandable to machines and aid them to respond correspondingly. When it comes to …
Healthcare sectors in the era of data are under tremendous pressure. There is a dire need to maximize patient care and patient experiences thereby reducing costs of healthcare delivery consistently. Therefore, the healthcare industry is adapting to smart solutions to make better business decisions. Machine learning applications and models are helping payers, vendors and service …
Scope Of Data Annotators in Data-Driven Healthcare Read More »
Semantic annotation captures the tagging of certain documents and concepts that are relevant to the data. This involves including metadata into documents that will enhance the content with deceptive words and concepts to offer meaning and depth to the text. The benefit of semantic annotation is that it enhances product listings and at the same …
Text annotation comprises an array of annotations such as query, intent and sentiment. Sentiment Annotation This type of text annotation evaluates opinions, emotions, and attitudes to offer useful insights that aid in driving important company decisions. Therefore, the data must be right from the beginning. To obtain such data, text annotators are mostly influenced as …
There is no denying that text annotation is a widely used type as 70 per cent of organizations surveyed in the ML report stated that they are highly dependent on text. Text annotation involves a process of utilizing metadata tags for highlighting sentences, phrases or keywords to impart machines on how to identify and comprehend …
If the situations are true and realistic that is when the training data becomes effective. It becomes more valuable and comes to good use in healthcare. As a result, annotated training data has gained immense popularity and especially when the annotation is done using superior quality training data sets. If the raw data and the …
Significance of Superior Quality Annotated Training Data in Medical Industry Read More »
ASR (Automatic speech recognition) has evolved and hence is extensively used for commercial purposes. Consequently, the chances of error rate are higher in most speech recognition areas. It is one of the main obstructions when it comes to the implementation of speech technology. This is especially in the case of applications with a larger volume …
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Speech recognition plays a crucial role as it provides voice-enabled assistance for patients. The technology enhances the level of patient engagement during the process of medical treatment outside the care center. For instance, patients can request a voice-enabled assistant for recording their symptoms and provide details of their illness or general health concerns. Speech recognition …
Environmental Sound Classification The audio annotators are required to classify several sounds that attributes to distinct environments. Some specific sounds are related to cities like car horns, construction, sirens and other such sounds this particular classification comes in the best use to create security systems that recognize break-ins sound and also for predictive upkeep. Acoustic …
Sound Labelling The data annotators here are provided with a recording and their job involves segregating the required sounds and labelling them. It may be specific keywords or the sound of a particular musical instrument. Event Tracking This type of audio annotation service checks the performance and efficiency of the sound even tracking systems in …