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Question: Write a Python code to generate sentences from any given words, using NLP. Also, note that the python code should not be included any hard-coded words, it will be generated from a Python library such as Keytotext or other text processing.
Example 1: Enter your words: Blue reminds of the sea, feels calm, blue sky, sense of comfort.Generate sentencesher favorite color is blue, it reminds her of the seaand of a blue sky, her sense of comfort and feelings of calm.I like blue sky and blue reminds of the sea, it let me feel calm and a sense of comfort.
Example 2:Enter your words:book ,jungle,adventure,AfricaHe wrote a great book about jungle adventures in Africa.I saw movies on jungle adventures in Africa.
Think about the problem for a while, and even try writing or drawing a solution using pencil and paper or a whiteboard - What relationships and properties
CSCI 3351: Write a Python script called passmerger that will merge the contents of two simplified user account tables in a database as described below. The script uses one command line argument that represents the name of the database file.
Write a function named zero_out that accepts two lists of integers a1 and a2 as parameters and replaces any occurrences of a2 in a1 with zeroes.
Write separate programs for the following exercises in Java, Python, or C#. Each file should have your name at the top in comment.
Write a Python program called ‘anagramsearch.py' that searches a file for anagrams of a given word, printing the results in alphabetical order.
Build the in relation to the gradient boost tree and the dataset - Select a dataset (other than the example dataset given in section 3)
Write a program that asks the user for the number of males and the number of females registered in a class using two separate inputs.
Voter generates a pair of private and public keys - for the purpose of digital signature. Voter uses his private key to sign his request and the public key.
analyse the performance of a drone, first run the simulation normally - The actual route the drone finds can then be compared to this ‘perfect knowledge route'
Write short notes on Truncated Backpropagation Through Time (TBPTT)? Compare the working of TBPTT and BPTT - performs the classification for the imdb dataset
Define what string operations are available and how you use them
Using the images and their annotations (dataset will be provided by me), train the capsule neural network, Fast-RCNN, Faster RCNN and Mask RCNN
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