Answer: A; X coefficient
Explanation: Hope I helped out !
-Carrie
Ps. it would mean a lot if you marked brainliest
1. First normal form:
The first step in normalisation is putting all repeated fields in separate files and assigning appropriate keys to them.
2. Second normal form:
In this stage of normalisation, all non-key elements that are fully specified by something other than the complete key are placed in a separate table. Normally, these non-key elements are dependent on only a part of a compound key.
3. Third normal form:
This stage of normalisation enables eliminating redundant data elements and tables that are subsets of other tables. The redundant elements are those non-key data elements that are placed in more than one table of the virtual data elements.
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.