Nividous Community https://validator.w3.org/feed/docs/rss2.html Home Quiz -2 Pre-trained custom models can be used for domain specific template based extraction NLP entity recognition works on text data whereas CV template based entity works on image data NER also known as entity identification or entity extraction. NER stands for? Which of the below is applicable to dataset? Image classification can be used to classify documents when Which of the following action is used to classify the given text or image into predefined categories? Which of the below is an ideal use case of classification? NLP Entity Recognition can be used to extract key information from unstructured text like email body, contract document, etc. When the dataset annotation is completed, what should be the status of the dataset? What do B and I entities stand for? ROI stands for? Which of the following field types is used to extract data from master data based on a matched field? Which of the below recognition works on identifying entity value patterns based on regular expression? In Predictive Analysis, the dataset file consists of historical records with two columns text and target class. Which of the following action is used to to extract the predefined entities from the given text using the entity extraction model? The Text Classification model accuracy is shown in terms of Quiz -1 Which combination is most closely related to analysing customer reviews? Why is context important in NLP? A news app automatically places articles into Sports, Business, and Technology categories. What technique can be used? Why should an image dataset contain images from different angles and conditions? Which type of information can an image model learn from images? Which approach relies more directly on predefined keywords or matching rules? If a keyword is too common and appears in several categories, what problem may occur? 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? What is a good practice when preparing image data for an AI model? 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? Which task is NOT a classification task? Predicting tomorrow’s temperature is an example of regression. Predicting the exact price of a house is normally a classification task. What is the output of a classification model generally? Why is labelled data useful for classification? Which is an example of binary classification? An organization system classifies employees as Not Satisfactory, Average, or Excellent. What type of classification is this? What does a “class” mean in classification? An AI system classifies emails as Spam or Not Spam. What type of task is this? What is the main purpose of classification?