
Incorporating Domain Knowledge in Text Data Collection for Machine Learning Introduction: The success of machine learning models heavily relies on the quality and relevance of the training data they are exposed to. When it comes to text data, incorporating domain knowledge during the collection process is crucial for building effective models in specific industries or areas of expertise. By gathering text data that is tailored to a particular domain, machine learning algorithms can better understand the intricacies, context, and nuances of the subject matter. In this blog post, we will explore the importance of incorporating domain knowledge in Text Data Collection for machine learning and its impact on model performance. Understanding the Domain: Domain knowledge refers to the expertise, understanding, and familiarity with a specific subject area or industry. By leveraging domain knowledge during text data collection, we gain insights into the specific language, terminology, and conc...