NLP Assessment Test ArticleVideos NLP Assessment Test ArticleVideos Which of the below data types is not supported by python? Tuple List Dataframe Factor ArticleVideos Consider the following list: mylist = [“This”, “is”, “my”, “list”] What will the command “mylist[1]” return? “my” “list” “is” “this” ArticleVideos If an outlier (value on a different scale than other values) is added to a data, it will affect the mean. True or false? True False ArticleVideos Remove the outlier from the data set 73, 77, 81, 86, 900, 68, 28 and calculate the new Mean. 89 122 77 69 ArticleVideos What is the difference between a bar graph and a histogram? Histogram doesn’t show the entire range Bar chart is symmetric whereas Histogram is always skewed Histograms are for continuous variables whereas Bar graphs are for categorical variables Histograms are for categorical variables whereas Bar graphs are for continuous variables ArticleVideos Which of the following is the first stage of predictive modeling? Data Exploration Problem Definition Hypothesis Generation Model Building ArticleVideos In a confusion matrix, the total number of actual positives are given as? True Positive + False Negative False Negative + True Negative False Positive + False Negative True Positive + False Positive ArticleVideos What do we mean by the process of dimensionality reduction? Process of eliminating observations from the dataset Process of eliminating independent variables randomly Process of eliminating independent variables such that maximum information is retained with minimum variables None of the above ArticleVideos Which of the following statements are true about the Naive Bayes algorithm? It calculates the probability of only 1 class It assumes that the features are completely independent of each other None of the above ArticleVideos What exactly the term “Ensembling” stands for in predictive modelling? Combining different datasets for better predictions Combining different models for better predictions Combining independent variables to form new ones None of these ArticleVideos What are the top 3 most frequent words in the text snippet below? “I am a huge football fan so the title of the repository instantly had my attention. Google Research and football – what in the world do these two have to do with each other? This repository contains a reinforcement learning environment based on the open-source game Gameplay Football.” “the”, “in”, “based” “in”, “so”, “my” “football”, “with”, “and” “the”, “repository”, “do” ArticleVideos Given below is a list of terms coming from three different themes or topics. [“goal”, “sun”, “car”, ”space”, “football”, “midfielder”, “engine”, “galaxy”] Split this list into groups of similar word together. Select the right option. [“goal”, “sun”, “football”] [“midfielder”, “engine”, “galaxy”] [“car”, “space”] [ “sun”, “football”] [“midfielder”, “engine”, “galaxy”] [“car”, “space”, “goal”] [ “sun”, “football”, “galaxy”] [“midfielder”, “engine”] [“car”, “space”, “goal”] [“sun”, “space”,”galaxy”] [“goal”, “football”, “midfielder] [“car”, “ engine”] ArticleVideos What is the right set of words to fill in the blanks in the text below? “Natural language processing (NLP) is a subfield _____ computer science, information engineering, and artificial intelligence concerned _____ the interactions between computers _____ human (natural) languages, in particular how to program computers to process and analyze large _____ of natural language data.” “is”, “with”, “not”, “size” “can”, “about”, “for”, “number” “of”, “with”, “and”, “amounts” None of the above ArticleVideos Identify the name of the locations or places in the sentences below: 10 places you must visit in the Big Apple. Central Park is located in Manhattan. Rains hit flight operations in Mumbai 1- Big Apple 2- (Central Park, Manhattan) 3- Mumbai 1- places 2- Manhattan 3- Mumbai 1- (places, visit) 2- Central Park 3- Mumbai ArticleVideos Identify the sentiment in the statement below: “Angry citizens sue government over growing air pollution“ Negative Positive Neutral ArticleVideos Given below are three sample SMS’s. Spot the spam SMS Loan for $2000 is approved for you if you receive this SMS. 1 min verification & cash in 1 hr. Give a call at +1-341******* Sending you smiles for every moment of your special day…Have a wonderful time and a very happy birthday! Dear customer, we have refunded Rs. 500 to your Bank Account/Card for your failed payment. 1 and 2 2 3 1 ArticleVideos Given below are a few questions from movies.stackexchange.com Is this character still alive at the end of Stranger Things season 2? What was the waiter’s dialogue in the movie? Why do movie directors use brown tint on Mexico cities? Assign suitable tags to each of these questions. You can use the following tags. Tags: “plot-explanation”, “character”, “dialogue”, “production” 1- “dialogue” 2- “character”, “production” 3- “plot-explanation” 1- “plot-explanation”, “character” 2- “dialogue” 3- “production” 1- “plot-explanation”, “character” 2- “dialogue” 3- “production” 1- “production” 2- “dialogue”, “plot-explanation” 3- “character” ArticleVideos Consider the statement below and extract intent (action to be taken) and entities from it. “I would like to go to Los Angeles” Intent- see Entities- “Los Angeles” Intent- travel Entities- None Intent- travel Entities- “Los Angeles ArticleVideos What information can we extract from text? Word count and character count Dates, e-mails, and phone numbers Sentiment of the text All of the above ArticleVideos Which of the following is NOT an application of NLP? Sentiment Analysis Spam Classification Image Recognition Chatbot ArticleVideos Almost there! 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