# Load necessary libraries

import spacy

from spacytextblob.spacytextblob import SpacyTextBlob

import numpy as np

import pandas as pd

# Load spaCy model and add textblob pipeline

nlp $=$ spacy.load$(\text{'}$en$\_$core$\_$web$\_$sm$\text{'})$

nlp$.$add$\_$pipe$(\text{'}$spacytextblob$\text{'})$

# Read the CSV file

dataframe $=$ pd$.$read$\_$csv$($r$"$C:$\backslash$Users$\backslash$User$\backslash$OneDrive$\backslash$Desktop$\backslash 1429\_1.$csv$",$ low$\_$memory$=$False$)$

# Remove missing values and replace NaN with an empty string

clean$\_$data $=$ dataframe.dropna$($subset$=[\text{'}$reviews$.$text'$]).$fillna$(\text{'}\text{'})$

# Function to preprocess text

def preprocess$\_$text$($text$)$:

if isinstance$($text$,$ str$)$:

doc $=$ nlp$($text$)$

tokens $=[$token$.$text.lower$().$strip$()$ for token in doc if not token.is$\_$stop$]$

return $\text{'}\text{'}.$join$($tokens$)$

else:

return $\text{'}\text{'}$

# Apply preprocessing to the 'reviews.text' column

clean$\_$data$[\text{'}$reviews$.$text'$]=$ clean$\_$data$[\text{'}$reviews$.$text'$].$apply$($preprocess$\_$text$)$

# Function for sentiment analysis

def analyze$\_$sentiment$($review$)$:

doc $=$ nlp$($review$)$

sentiment $=$ doc.sentiment$.$polarity

if sentiment $>0\mathrm{.}5$:

return 'Positive'

elif sentiment :

return 'Negative'

else:

return 'Neutral'

# Function to test sentiment analysis

def test$\_$sentiment$\_$analysis$($review$)$:

sentiment$\_$result $=$ analyze$\_$sentiment$($review$)$

print$($f$"$Review: $\{$review$\}")$

print$($f$"$Sentiment: $\{$sentiment$\_$result$\}")$

print$("="*30)$

# Test sentiment analysis on sample reviews

sample$\_$review$\_1=$ "Love this product. It's amazing!"

sample$\_$review$\_2=$ "This product is terrible. I regret buying it$."$

test$\_$sentiment$\_$analysis$($sample$\_$review$\_1)$

test$\_$sentiment$\_$analysis$($sample$\_$review$\_2)$

# Choose two reviews for testing

review$\_$index$\_1=0$

review$\_$index$\_2=1$

# Retrieve the reviews using indexing

review$\_1=$ clean$\_$data$[\text{'}$reviews$.$text'$][$review$\_$index$\_1]$

review$\_2=$ clean$\_$data$[\text{'}$reviews$.$text'$][$review$\_$index$\_2]$

# Test the sentiment analysis function on the selected reviews

test$\_$sentiment$\_$analysis$($review$\_1)$

test$\_$sentiment$\_$analysis$($review$\_2)$

# Compare the similarity of the two reviews using spaCy

similarity$\_$score $=$ nlp$($review$\_1).$similarity$($nlp$($review$\_2))$

print$($f$"$Similarity Score: $\{$similarity$\_$score$\}")$

$($B$)$ PS C: UUsers $\backslash$User$>$ & C:$/$Users$/$User$/$AppData$/$Local$/$Programs$/$Python$/$Python$312/$python$.$exe c:$/$Users$/$User$/$Downloads$/$new$.$py

Traceback $($most recent call last$)$:

test$\_$sentiment$\_$analysis$($sample$\_$review$\_1)$

sentiment$\_$result $=$ analyze$\_$sentiment$($review$)$

File $"$c: $\backslash$Users$\backslash$User$\backslash$Downloads$\backslash$

new.py$",$ line $32,$ in analyze$\_$sentiment

sentiment $=$ doc.$\_.$sentiment$.$ polarity

raise AttributeError$($Errors$.$E$046.$format$($name$=$name$))$

AttributeError: $[$E$046]$ Can't retrieve unregistered extension attribute 'sentiment'. Did you forgei to call the 'set$\_$extension' method?