Answer:
import numpy as np
word = input("Enter a word: ")
acc = []
with open("Downloads/record-collection.txt", "r") as file:
lines = file.readlines()
for line in lines:
if word in line:
line = line.strip()
acc.append(int(line[0]))
if np.mean(acc) >= 2:
print(f"The word {word} is a positive word")
print(f"{word} appeared {len(acc)} times")
print(f"the review of the word {word} is {round(np.mean(acc), 2)}")
else:
print(f"the word {word} is a negative word with review\
{round(np.mean(acc), 2)}")
Explanation:
The python program gets the text from the review file, using the user input word to get the definition of reviews based on the word, whether positive or negative.
The program uses the 'with' keyword to open the file and created the acc variable to hold the reviews gotten. The mean of the acc is calculated with the numpy mean method and if the mean is equal to or greater than 2 it is a positive word, else negative.
The answer is commissioned
Answer:
Translation : Distributed Databases
Explanation:
Answer:
consistent phrasing is missing
Explanation:
If you will note carefully, the bullets are not in correct format. The model is missing. The correct one is as below.
Risks
The correct form of presentation is as below:
1. Risks
a. employees
a. physical illness
b. mental illness
c. death
2. Customers
a. complaints
b. downtime
3. Benefits
However, the content seems to be complete now, and hence not anything else is required. And since its not something very tough to decide to go with, bite the bullet is certainly not an issue.
Answer:
B) 5 m/s
Explanation:
Took the test and this was the correct answer :)
