Nividous Community https://validator.w3.org/feed/docs/rss2.html Home What is a keyword in search-based classification? What can happen if the training text dataset contains many incorrect labels? What is sentiment analysis used for? Which is an example of text classification? What does NLP stand for? Why is variety important when collecting data? How should training and testing data be handled? Why should duplicate data be avoided in a dataset? Why should a dataset contain enough data for each class? What is an important rule when preparing a dataset for an AI model? What is a dataset? Why do classification models need training data? An organization system classifies employees as Not Satisfactory, Average, or Excellent. What type of classification is this? SmartBot Essentials – 7.5 What is a good practice when preparing image data for an AI model? Exercise–1.2 SB75 Predicting tomorrow’s temperature is an example of regression. Predicting the exact price of a house is normally a classification task. Why is labelled data useful for classification? Exercise -1.1SB75 Quiz-1 Quiz -1 Which task is NOT a classification task? ROI stands for? (Copy) What do B and I entities stand for? (Copy) An AI system classifies emails as Spam or Not Spam. What type of task is this? When the dataset annotation is completed, what should be the status of the dataset? (Copy) NLP Entity Recognition can be used to extract key information from unstructured text like email body, contract document, etc. (Copy) Which of the below is an ideal use case of classification? (Copy) When you define multiple keywords in a single row in the Search Based Classification then it performs________operation between them. (Copy) What is the output of a classification model generally? Which of the following action is used to classify the given text or image into predefined categories? (Copy) Image classification can be used to classify documents when (Copy) Which of the below is applicable to dataset? (Copy) NER stands for? (Copy) NER also known as entity identification or entity extraction. (Copy) Which is an example of binary classification? NLP entity recognition works on text data whereas CV template based entity works on image data (Copy) Pre-trained custom models can be used for domain specific template based extraction (Copy) In Predictive Analysis, which of the following column in the dataset file is the target column? (Copy) The Text Classification model accuracy is shown in terms of (Copy) Which of the following action is used to to extract the predefined entities from the given text using the entity extraction model? (Copy) What does a “class” mean in classification? In Predictive Analysis, the dataset file consists of historical records with two columns text and target class. (Copy) In Computer VIsion, if multiple document formats are available, then which approach is more suitable? (Copy) What is the main purpose of classification? Which of the below recognition works on identifying entity value patterns based on regular expression? (Copy) Which of the following field types is used to extract data from master data based on a matched field? (Copy) Quiz -2